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Paper Citation Record · LEDGER

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation

As of 12 August 2026, this Paper Citation Record lists 87 of 87 outbound references and 0 inbound Pith citation observations for arXiv:2501.09309.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2501.09309 v1

Coverage vector

measured 87 of 87 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:09:23.882843Z

measured 87 of 87 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

87 of 87 outbound references displayed

  • verified exact45
  • verified fuzzy3
  • unresolved31
  • parse uncertain0
  • malformed identifier3
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b2a29628-a81d-449e-bb19-955b6d632829 · outbound

This paper cites Epidemiology of suicide and the psychiatric perspective,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Epidemiology of suicide and the psychiatric perspective,

Reference 1

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verified exact
doi, observed 2026-08-10T20:09:25.578222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 0b16e051-dfea-40c5-90a9-d55fa7515cdf · outbound

This paper cites Death Rates Due to Suicide and Homicide Among Persons Aged 10 -24: Unite d States, 2000 -2017 Key findings Data from the National Vital Statistics System.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Death Rates Due to Suicide and Homicide Among Persons Aged 10 -24: Unite d States, 2000 -2017 Key findings Data from the National Vital Statistics System

Reference 2

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation b2285f1d-aaae-4ef0-8a6b-8b5313da08c4 · outbound

This paper cites Smartphones, Sensors, and Machine Learning to Advance Real-Time Prediction and Interventions for Suicide Prevention: a Review of Current Progress and Next Steps,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Smartphones, Sensors, and Machine Learning to Advance Real-Time Prediction and Interventions for Suicide Prevention: a Review of Current Progress and Next Steps,

Reference 3

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verified exact
doi, observed 2026-08-10T20:09:25.546468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 837ad97a-7b20-41bd-9edf-26308b59052d · outbound

This paper cites Machine learning in suicide science: Applic ations and ethics,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Machine learning in suicide science: Applic ations and ethics,

Reference 4

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doi, observed 2026-08-10T20:09:25.504051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation a05b9210-55fe-4f16-bf4d-50d1033d5f85 · outbound

This paper cites Leveraging Digital Health and Machine Learning Toward Reducing Suicide - From Panacea to Practical Tool,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Leveraging Digital Health and Machine Learning Toward Reducing Suicide - From Panacea to Practical Tool,

Reference 5

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verified exact
raw_fallback, observed 2026-08-10T20:09:29.077011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation dd2b827c-31d9-4476-97c2-efc95140b9da · outbound

This paper cites Finding the traces of behavioral and cognitive processes in big data and naturally occurring datasets,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Finding the traces of behavioral and cognitive processes in big data and naturally occurring datasets,

Reference 6

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verified exact
doi, observed 2026-08-10T20:09:25.460521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation cbc1972c-3296-4c71-a87c-bafd25696f25 · outbound

This paper cites Detection of suicide ideation in social media forums using deep learning,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Detection of suicide ideation in social media forums using deep learning,

Reference 7

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verified exact
doi, observed 2026-08-10T20:09:25.419597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:09:23.151931Z digest=sha256:671f6cfb2a06e88acaec7cf2a2c8155ad6e742bdc61f92eaa3eee3af2a54cfac

Observation ed0d5e97-ba88-4ce8-bab1-9081fcda48e8 · outbound

This paper cites Exploring and learning suicidal ideation connotations on social media with deep learning,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Exploring and learning suicidal ideation connotations on social media with deep learning,

Reference 8

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no resolver link, observed 2026-08-10T20:09:23.166773Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:09:23.166773Z digest=sha256:22ef84994ad57a3c92a6bf673e97f05660b325a8e5c65a95176680cafc71bb1f

Observation 39179a79-ee66-4f1a-9229-bf8dace576fa · outbound

This paper cites Deep sentiment representation based on CNN and LSTM,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Deep sentiment representation based on CNN and LSTM,

Reference 9

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verified exact
doi, observed 2026-08-10T20:09:25.383734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation b4b11d99-139d-4b6a-ad8d-ccd34979d2fa · outbound

This paper cites Exploring Interpretable LSTM Neural Networks over Multi-Variable Data.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Exploring Interpretable LSTM Neural Networks over Multi-Variable Data

Reference 10

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local_arxiv, observed 2026-08-10T20:09:28.935300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation d2aa2853-8e8b-4f1d-b0e9-62bd47f510d0 · outbound

This paper cites A novel LSTM–CNN–grid search-based deep neural network for sentiment analysis,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation A novel LSTM–CNN–grid search-based deep neural network for sentiment analysis,

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 7783b1a6-5d96-4986-8517-9843777d75c2 · outbound

This paper cites How Should Public Administrations F oster the Ethical Development and Use of Artificial Intelligence? A Review of Proposals for Developing Governance of AI,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation How Should Public Administrations F oster the Ethical Development and Use of Artificial Intelligence? A Review of Proposals for Developing Governance of AI,

Reference 12

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metadata mismatch
raw_fallback, observed 2026-08-10T20:09:28.891890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:09:23.210975Z digest=sha256:bb91ad5c8ecbf3d72e06437d4c81f7afd06d76a57a8c58d1a633f1e39197836b

Observation 50308f24-10bc-4324-82ed-c674e82b7c76 · outbound

This paper cites Data saves lives,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Data saves lives,

Reference 13

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doi, observed 2026-08-10T20:09:25.309437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 521deb32-e3cc-4727-a76c-86efb674bddb · outbound

This paper cites An Unsupervised Learning Approach for Automatically to Categorize Potential Suicide Messages in Social Media,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation An Unsupervised Learning Approach for Automatically to Categorize Potential Suicide Messages in Social Media,

Reference 14

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raw_fallback, observed 2026-08-10T20:09:28.804149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:09:23.231885Z digest=sha256:7f9e1d412e44427418c1ceb908ef97ec9b074d1af006b19ea787dedf704e0a18

Observation 19ec1474-6fab-4aae-a65d-24f64d4a1f6d · outbound

This paper cites Depression and Suicide Analysis Using Machine Learning and NLP,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Depression and Suicide Analysis Using Machine Learning and NLP,

Reference 15

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no resolver link, observed 2026-08-10T20:09:23.239717Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation a8c2a727-765f-445c-8901-b09a117e02cc · outbound

This paper cites Detection of suicidal ideation on Twitter using machine learning & ensemble approaches,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Detection of suicidal ideation on Twitter using machine learning & ensemble approaches,

Reference 16

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doi, observed 2026-08-10T20:09:25.257324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 66a71d5b-9fff-430b-9b96-5da4feb501b5 · outbound

This paper cites Detection of suicide attempters among suicide ideators using machine learning,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Detection of suicide attempters among suicide ideators using machine learning,

Reference 17

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doi, observed 2026-08-10T20:09:25.230309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 13f1f5b2-6b02-48fa-a85d-b763bcab80bf · outbound

This paper cites Learning Models for Suicide Prediction from Social Media Posts.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Learning Models for Suicide Prediction from Social Media Posts

Reference 18

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local_arxiv, observed 2026-08-10T20:09:28.708331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation ef176581-dc60-4b1c-b738-3406542392ce · outbound

This paper cites Using machine learning algori thms to detect suicide risk factors on twitter,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Using machine learning algori thms to detect suicide risk factors on twitter,

Reference 19

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raw_fallback, observed 2026-08-10T20:09:28.674431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 13bf1d39-d453-4eec-8787-cc7373accf1e · outbound

This paper cites Automatic identification of suicide notes with a transformer-based deep learning model,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Automatic identification of suicide notes with a transformer-based deep learning model,

Reference 21

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no resolver link, observed 2026-08-10T20:09:23.294304Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:09:23.294304Z digest=sha256:d896c82a880ddba74c52e2b066bf4f3d502022001e2b340bdfbf08db11f9c53b

Observation 02ac7121-6999-497e-95b4-ef8768056f27 · outbound

This paper cites Deep Learning for Suicide and Depression Identification with Unsupervised Label Correction.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Deep Learning for Suicide and Depression Identification with Unsupervised Label Correction

Reference 22

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:09:23.300379Z digest=sha256:30f0b6da63242d30444374f892b17ae9f103aaf6a8008dfb723e92bdbc74e72a

Observation 9a3649da-12f8-4011-8fd0-41027540ed90 · outbound

This paper cites Deep neural networks detect suicide risk from textual facebook posts,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Deep neural networks detect suicide risk from textual facebook posts,

Reference 23

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doi, observed 2026-08-10T20:09:25.207611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 3476397d-a32f-46a5-9de2-1dfc75ac33ea · outbound

This paper cites Multi -Task, Multi -Channel, Multi -Input Learning for Mental Illness Detection using Social Media Text,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Multi -Task, Multi -Channel, Multi -Input Learning for Mental Illness Detection using Social Media Text,

Reference 24

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doi, observed 2026-08-10T20:09:25.181465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation ce275fd4-ca8f-4f11-b881-90419589e14b · outbound

This paper cites Boamente: A Natural Language Processing -Based Digital Phenotyping Tool for Smart Monitoring of Suicidal Ideation,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Boamente: A Natural Language Processing -Based Digital Phenotyping Tool for Smart Monitoring of Suicidal Ideation,

Reference 25

Resolution
verified exact
doi, observed 2026-08-10T20:09:25.146797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 4b063df3-8302-40b4-a200-5dbd2a318eb4 · outbound

This paper cites Detecting and Analyzing Suicidal Ideation on Social Media Using Deep Learning and Machine Learning Models,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Detecting and Analyzing Suicidal Ideation on Social Media Using Deep Learning and Machine Learning Models,

Reference 26

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doi, observed 2026-08-10T20:09:25.113534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 50529396-ad30-40f4-a87f-a877ff5529ea · outbound

This paper cites An ensemble deep learning technique for detecting suicidal ideation from posts in social media platforms,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation An ensemble deep learning technique for detecting suicidal ideation from posts in social media platforms,

Reference 27

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verified exact
doi, observed 2026-08-10T20:09:25.068485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 6df3c40d-0a77-4390-b4b9-9a3d7b62500a · outbound

This paper cites Mental Disorder Detection via Social Media Mining using Deep Learning,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Mental Disorder Detection via Social Media Mining using Deep Learning,

Reference 28

Resolution
verified exact
doi, observed 2026-08-10T20:09:25.034299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:09:23.357015Z digest=sha256:dd21e7f4b25de34825533142822037ededdc5a474585d627aa2ce812acfd7971

Observation 8c00ed1d-092c-410a-9694-8934ac76bdd4 · outbound

This paper cites Building and Using Personal Knowledge Graph to Improve Suicidal Idea tion Detection on Social Media,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Building and Using Personal Knowledge Graph to Improve Suicidal Idea tion Detection on Social Media,

Reference 29

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metadata mismatch
raw_fallback, observed 2026-08-10T20:09:28.361727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:09:23.364160Z digest=sha256:77103381f99c383c051801d91a1df30c3c85af2bc9ab9c1e9c0d9e30b2c5a572

Observation 340e6a36-a55f-473b-8f14-b06baf6682c3 · outbound

This paper cites A lexicon-based approach to detecting suicide -related messages on Twitter,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation A lexicon-based approach to detecting suicide -related messages on Twitter,

Reference 30

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no resolver link, observed 2026-08-10T20:09:23.370880Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:09:23.370880Z digest=sha256:baa5b322164a729ad2ced55b4005d7d9ed63fb8e7ae58e356f87a7f527e76834

Observation e9aaa844-ca44-4202-8dd7-eea758d72ccb · outbound

This paper cites A machine learning approach predicts future risk to suicidal ideation from social me dia data,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation A machine learning approach predicts future risk to suicidal ideation from social me dia data,

Reference 31

Resolution
verified exact
doi, observed 2026-08-10T20:09:24.988712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 55733b32-0085-498e-ac28-b881ec707863 · outbound

This paper cites A machine learning based depression analysis and suicidal ideation detection system using questionnaires and twitter,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation A machine learning based depression analysis and suicidal ideation detection system using questionnaires and twitter,

Reference 32

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unresolved
no resolver link, observed 2026-08-10T20:09:23.389673Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:09:23.389673Z digest=sha256:08a8bc761a80a1ebb53724aa4bfe179539ec259691fbaf29cdabfeecae110486

Observation 36f1c75f-23bb-4a1b-99f0-8fc08640bc0a · outbound

This paper cites Detection of suicidality among opioid users on reddit: Machine learning-based approach,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Detection of suicidality among opioid users on reddit: Machine learning-based approach,

Reference 33

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doi_truncated, observed 2026-08-10T20:09:24.955851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:09:23.399569Z digest=sha256:46070f253754567c6bb77ccd270be03958e6e14912e964aea295f32d03185aa5

Observation 13aebaf1-958f-4b0a-b1a0-c90fca2a3c99 · outbound

This paper cites Digital conversations about suicide among teenagers and adults with epilepsy: A big -data, machine learning analysis,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Digital conversations about suicide among teenagers and adults with epilepsy: A big -data, machine learning analysis,

Reference 34

Resolution
verified exact
doi, observed 2026-08-10T20:09:24.922130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:09:23.412900Z digest=sha256:53130156e4ddae456e0fabe19d55412b91a1984f6d0505f17e07ccadf881e769

Observation 9eed13ca-4098-4cfb-954c-079eb25990ec · outbound

This paper cites Exploring temporal suicidal behavior patterns on social media: Insight from Twitter analytics,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Exploring temporal suicidal behavior patterns on social media: Insight from Twitter analytics,

Reference 35

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verified exact
doi, observed 2026-08-10T20:09:24.893906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:09:23.421233Z digest=sha256:5c27ef509d04bb6c80e217bbe125fcaafcdb7d18180e7f72cb1d62bdc9c436fa

Observation 2a26423d-d59b-481d-8862-af30a26066b6 · outbound

This paper cites Machine Learning Based Suicide Ideation Prediction for Military Personnel,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Machine Learning Based Suicide Ideation Prediction for Military Personnel,

Reference 36

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:09:23.429228Z digest=sha256:3dc8a561406f5520fd1594e75e5c1a1ca9cf23235d5a5598c4635d062fea4bc7

Observation adc0b86e-1c94-4ada-8bf2-46f04e360d10 · outbound

This paper cites Proactive suicide prevention online (PSPO): Machine identification and crisis management for Chinese social media users with suicidal thoughts and behaviors,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Proactive suicide prevention online (PSPO): Machine identification and crisis management for Chinese social media users with suicidal thoughts and behaviors,

Reference 37

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malformed identifier
doi_truncated, observed 2026-08-10T20:09:24.858967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:09:23.444374Z digest=sha256:323d81b65ea5e26acd42910cc90705396870f7694b25b5c014c73451e9d50804

Observation 42f47361-6f12-40dc-aaa2-df796054eb30 · outbound

This paper cites Screening for suicidal ideation with text messages,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Screening for suicidal ideation with text messages,

Reference 38

Resolution
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no resolver link, observed 2026-08-10T20:09:23.453472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:09:23.453472Z digest=sha256:f7b2e0f3e5867efb427e0ffd9121b97e8ae4fc8ecd2beb928ed8af78228d6906

Observation b364417c-bc3d-4d86-90dd-984739d6e877 · outbound

This paper cites Suicidal ideation prediction in twitter data using machine learning techniques,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Suicidal ideation prediction in twitter data using machine learning techniques,

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-10T20:09:23.460634Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:09:23.460634Z digest=sha256:4094c75147932b9d16247c122bced43a37a26d8b828c6b125848bb385000135f

Observation 1e4aed66-937b-4e99-8146-f5c813d89cd1 · outbound

This paper cites Suicidal Profiles Detection in Twitter,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Suicidal Profiles Detection in Twitter,

Reference 40

Resolution
verified exact
doi, observed 2026-08-10T20:09:24.825431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:09:23.471381Z digest=sha256:ea25bd6228171395fb766d00060177dd5eecbe5f6b081641864dc412bd8d4884

Observation ce0bbced-611a-4337-ba81-e7f5acdbd5a7 · outbound

This paper cites Identifying PTSD Symptoms Using Machine Learning Techniques on Social Media,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Identifying PTSD Symptoms Using Machine Learning Techniques on Social Media,

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-10T20:09:23.479239Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:09:23.479239Z digest=sha256:a630e772b253d7fa5e8e8955c45ac7aabea6f485d1dc5d2a0ecf0bdfd106394a

Observation b46ae9d8-7ce2-440e-a6d7-22aa944808a5 · outbound

This paper cites Social Media for Mental Health: Data, Methods, and Findings,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Social Media for Mental Health: Data, Methods, and Findings,

Reference 42

Resolution
verified exact
doi, observed 2026-08-10T20:09:24.798883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:09:23.485364Z digest=sha256:7afa1b8b85a7b551ab9936b7fc7ec8598bfa426e67ae381735b97575bbf90503

Observation 053f09e5-47a4-41ba-91dd-23eed4f8c4b9 · outbound

This paper cites A Study on Mental Health Discussion through Reddit,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation A Study on Mental Health Discussion through Reddit,

Reference 43

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no resolver link, observed 2026-08-10T20:09:23.495812Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:09:23.495812Z digest=sha256:5b0531cf05bac14eb9e78d65f8f795de1167eaaea05364d73d5d39b8306b4e48

Observation 0fd9cfc3-43ff-4739-9f6a-1ec3406a6d8a · outbound

This paper cites A study of reddit-user’s response to rape,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation A study of reddit-user’s response to rape,

Reference 44

Resolution
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no resolver link, observed 2026-08-10T20:09:23.502818Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:09:23.502818Z digest=sha256:7fd1d3c4f64fe3e91dc3392dafb21e6727e13eeb29f28c5bcae794778bbca85a

Observation 59924d77-5d51-4da8-af41-97856857bb6a · outbound

This paper cites A Transformer Based Approach to Detect Suicidal Ideation Using Pre - Trained Language Models,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation A Transformer Based Approach to Detect Suicidal Ideation Using Pre - Trained Language Models,

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-10T20:09:23.511410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:09:23.511410Z digest=sha256:ea54a3117f92849f264f152ecbdb32c9f7abb07ccfae9ddcde712dc20ca5a410

Observation 476003d2-95d1-4904-b926-605c862f80e0 · outbound

This paper cites Word Affect Intensities.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Word Affect Intensities

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-10T20:09:23.522056Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:09:23.522056Z digest=sha256:58ac5d6df3632751e0ba58690abd5b32c0281e95749fa5890f3c2e993c80cf80

Observation 384869b7-995b-45d3-b951-600fbfc718fe · outbound

This paper cites Emotion Intensities in Tweets.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Emotion Intensities in Tweets

Reference 47

Resolution
verified exact
local_arxiv, observed 2026-08-10T20:09:27.436935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:09:23.531016Z digest=sha256:9dcae4b92ead6b80b5f7d66a57e376fd411c1ae0af3b9939fb1636ec11539100

Observation 39d16be0-e178-4301-843a-bf6bc9a7a81f · outbound

This paper cites The Heart and Soul of the Web ? Sentiment Strength Detection in the Social Web with SentiStrength,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation The Heart and Soul of the Web ? Sentiment Strength Detection in the Social Web with SentiStrength,

Reference 48

Resolution
verified exact
doi, observed 2026-08-10T20:09:24.770351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:09:23.546128Z digest=sha256:b0154b33beda0257dc826bb8be989573acd32275baf20d5b5c50bff78b727149

Observation 6c82fa35-b9c7-4085-b333-5a43ae983755 · outbound

This paper cites SentiStrength -SE: Exploiting domain specificity for improved sentiment analysis in software engineerin g text,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation SentiStrength -SE: Exploiting domain specificity for improved sentiment analysis in software engineerin g text,

Reference 49

Resolution
verified exact
doi, observed 2026-08-10T20:09:24.744956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:09:23.558461Z digest=sha256:356b866a8ef4c61aaa212a3c514d3dd0d1a32512daf8ef4a75d80ad97b5955f9

Observation c323c513-5283-4309-83aa-133bcf5f497f · outbound

This paper cites Spatialities, Social Media and Sentiment Analysis: Exploring the Potential of the Detection Tool Se ntiStrength,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Spatialities, Social Media and Sentiment Analysis: Exploring the Potential of the Detection Tool Se ntiStrength,

Reference 50

Resolution
verified exact
doi, observed 2026-08-10T20:09:24.715210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:09:23.564908Z digest=sha256:b9c074331c5ef2c09b6ff5cc9e1e79b3e24519cf253309d8f8e77a6678b8f220

Observation 3056a83a-6e26-4884-9336-22e1199b22cc · outbound

This paper cites A comprehensive survey on support vector machine classification: Applications, challenges and trends,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation A comprehensive survey on support vector machine classification: Applications, challenges and trends,

Reference 51

Resolution
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no resolver link, observed 2026-08-10T20:09:23.572187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:09:23.572187Z digest=sha256:f84081cc7acac85897c84f6bc5c1234204df3dfebae5ec735ba4e1f296ea1be6

Observation 72c5b568-e5ae-4bb5-a105-fbdc8e688a19 · outbound

This paper cites Problem formulations and solvers in linear SVM: a review,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Problem formulations and solvers in linear SVM: a review,

Reference 52

Resolution
verified exact
doi, observed 2026-08-10T20:09:24.668374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:09:23.579719Z digest=sha256:076af79338db434d1f4966f22e218b25067a6c7a440a2ee904bfe84bd6e9ddd8

Observation 34857934-2700-4f9d-af37-9742e3e0159f · outbound

This paper cites Introduction to Support Vector Machines,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Introduction to Support Vector Machines,

Reference 53

Resolution
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no resolver link, observed 2026-08-10T20:09:23.586545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:09:23.586545Z digest=sha256:e024b7c6b9f29a0868b5162d06caa886deace892503b5a62d40f3f36dda307e0

Observation bd1b0b25-39aa-4c47-9f3e-98cfc5ce28dc · outbound

This paper cites Decision tree methods: applications for classification and prediction,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Decision tree methods: applications for classification and prediction,

Reference 54

Resolution
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no resolver link, observed 2026-08-10T20:09:23.592986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:09:23.592986Z digest=sha256:d3cc1fadf96341449e4a604cd33487fd004b72a33c1f14e305b7bd58e71e4fbf

Observation cf3977f2-fcfc-48f1-bab5-6be9cc6b6c16 · outbound

This paper cites A Brief Survey on Random Forest Ensembles in Classification Model,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation A Brief Survey on Random Forest Ensembles in Classification Model,

Reference 55

Resolution
verified exact
doi, observed 2026-08-10T20:09:24.644071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:09:23.606257Z digest=sha256:5ea9711a2e04d88b35738554c5a37610a6be658567df1cb801141840459ce000

Observation 950f6a24-4775-481c-9c29-3545f8dac79f · outbound

This paper cites Optimization of Classification Rules and Voting Strategies for Random Forest,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Optimization of Classification Rules and Voting Strategies for Random Forest,

Reference 56

Resolution
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no resolver link, observed 2026-08-10T20:09:23.614788Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:09:23.614788Z digest=sha256:428ac0ed71e060e5da15e6cd758a96759730d464566223708a5789d8ec820ff8

Observation de97682f-eb26-496b-8e2a-47f74f7f97e1 · outbound

This paper cites A Review of Splitting Criteria for Decision Tree Induction,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation A Review of Splitting Criteria for Decision Tree Induction,

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-10T20:09:23.621629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:09:23.621629Z digest=sha256:b055c8f0c4d32efee6ae46793a6da1559eae2563b6f1b7e00d2762f4424730b4

Observation 92141541-ea3a-4aa7-86da-a41d059c4ad8 · outbound

This paper cites Statistics review 14: Logistic regression,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Statistics review 14: Logistic regression,

Reference 58

Resolution
verified exact
doi, observed 2026-08-10T20:09:24.612474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:09:23.630031Z digest=sha256:d91712643e0c7a19b2cf4bc0f03930a80e60973cbbcd6ef782042b630f4df3c2

Observation 0bb4dddf-1b8a-4363-9cab-49be48e00c24 · outbound

This paper cites Log Odds and the Interpretation of Logit Models,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Log Odds and the Interpretation of Logit Models,

Reference 59

Resolution
verified exact
raw_fallback, observed 2026-08-10T20:09:27.295437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:09:23.639196Z digest=sha256:51f61315c8fda5f7299a9c69a2aa326207e33cf49e456ecbf917d451680d7a49

Observation 2c127f7e-b1ff-4c84-98e0-da9d5926c951 · outbound

This paper cites A Brief Review of Nearest Neighbor Algorithm for Learning and Classification,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation A Brief Review of Nearest Neighbor Algorithm for Learning and Classification,

Reference 60

Resolution
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no resolver link, observed 2026-08-10T20:09:23.646306Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:09:23.646306Z digest=sha256:294b8db45aae3ab0b52ab06a5a8ac4f4fa3227c68bc2069c478c4644a92eeb35

Observation a0fd9810-2b0c-41bf-878a-efab5ff8af27 · outbound

This paper cites An Empirical Study of Distance Metrics for k -Nearest Neighbor Algorithm,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation An Empirical Study of Distance Metrics for k -Nearest Neighbor Algorithm,

Reference 61

Resolution
verified exact
doi, observed 2026-08-10T20:09:24.585154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:09:23.652940Z digest=sha256:e7d7395af21c1e97195bac34a2f9729f8c47f7928545be4ecbf13d93d3f2f676

Observation b8075ad3-28ff-4fee-b695-fae1eab18dd4 · outbound

This paper cites The euclidean distance degree,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation The euclidean distance degree,

Reference 62

Resolution
metadata mismatch
raw_fallback, observed 2026-08-10T20:09:27.006276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:09:23.660664Z digest=sha256:c9c424005319c4cf12f9791d679b0d8ed51af95ec01151b8a7e4895efc81caea

Observation 63e5f7b5-f08c-4d33-9314-5908f0a31841 · outbound

This paper cites Naive (Bayes) at forty: The independence assumption in information retrieval,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Naive (Bayes) at forty: The independence assumption in information retrieval,

Reference 63

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no resolver link, observed 2026-08-10T20:09:23.666643Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:09:23.666643Z digest=sha256:14cd89f0125d991b8d77e4e8f8dfd70106a4e893efbb2ce0e25072b86333fcb5

Observation b586df97-9a43-4e74-8ead-19dcc7659d3f · outbound

This paper cites The Application of Bayesian Theorem,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation The Application of Bayesian Theorem,

Reference 64

Resolution
verified exact
doi, observed 2026-08-10T20:09:24.542189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:09:23.674358Z digest=sha256:16d22ad0e61fba1ed9f18da0d1fb562469b5ced9819f6ffd4770c3c6b197d41e

Observation 7eb22e96-3086-4837-8dc2-a563b3a4cc68 · outbound

This paper cites Modified k-Means Clustering Algorithm,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Modified k-Means Clustering Algorithm,

Reference 65

Resolution
verified exact
doi, observed 2026-08-10T20:09:24.506103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:09:23.682932Z digest=sha256:3d7e6e7000fc39f8d4c4d6615081b60002d16240256fbdb19e08b4bf5965a3f4

Observation c8dd57b0-9b3d-4e54-8800-b8563b4c999d · outbound

This paper cites Latent Dirichlet Allocation with topic-in- set knowledge,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Latent Dirichlet Allocation with topic-in- set knowledge,

Reference 66

Resolution
metadata mismatch
raw_fallback, observed 2026-08-10T20:09:26.857091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:09:23.691597Z digest=sha256:b8bc8d70ebeea6ce34e9871390dda914e418acf868e97cf65b899036a6bc48b5

Observation 40338655-46ff-47e2-b156-3deede3f3246 · outbound

This paper cites Basic concepts of artificial neural network (ANN) modeling and its application in pharmaceutical research,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Basic concepts of artificial neural network (ANN) modeling and its application in pharmaceutical research,

Reference 67

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verified exact
doi, observed 2026-08-10T20:09:24.477664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:09:23.698573Z digest=sha256:a8219d2b24025019b845a3990f1035271a43ffa4364e304ffbe6c53a7fc45b5a

Observation 57b9d165-3fed-4816-aabc-09fedbcf2c42 · outbound

This paper cites Artificial Neural Networks,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Artificial Neural Networks,

Reference 68

Resolution
verified exact
doi, observed 2026-08-10T20:09:24.429931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:09:23.705646Z digest=sha256:509cecd3106c1eed9eab92d81e3547aa8d8d819eea0398fbbd9ebd466f1483ce

Observation 9b54469c-37c4-4c29-87d2-febca85d4014 · outbound

This paper cites Do Convolutional Neural Networks Learn Class Hierarchy?,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Do Convolutional Neural Networks Learn Class Hierarchy?,

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-10T20:09:23.711899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:09:23.711899Z digest=sha256:6da967cd4a49e79333419c4ed8301c20e19b13e1b573bd5399a2f088f719663a

Observation 7aefd668-407e-452a-a521-db61f124f137 · outbound

This paper cites Effective Use of Word Order for Text Categorization with Convolutional Neural Networks,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Effective Use of Word Order for Text Categorization with Convolutional Neural Networks,

Reference 70

Resolution
verified exact
doi, observed 2026-08-10T20:09:24.395669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:09:23.717207Z digest=sha256:e652f3ff68d5f48edd007d2e86bc0ae528791d630cea8d7ac3487a80aa2ee4c0

Observation d125135a-2ee9-4b42-a33a-9406d5b970d5 · outbound

This paper cites Sequential Learning of Convolutional Features for Effective Text Classification,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Sequential Learning of Convolutional Features for Effective Text Classification,

Reference 71

Resolution
verified exact
doi, observed 2026-08-10T20:09:24.361251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:09:23.726559Z digest=sha256:ba04f3b2fa9344a656e9a85e33c9349139a496dfbabfcead3c0a85a18e7df677

Observation 5f1ebec3-bef7-412e-a453-a6be1728ee6c · outbound

This paper cites Understanding of a convolutional neura l network,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Understanding of a convolutional neura l network,

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-10T20:09:23.736333Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:09:23.736333Z digest=sha256:d795b3cebbc763390e5e89e426d2ca056986abb89b0cb1a9fd9f79e61c2731ea

Observation fe905056-65f6-4321-9ac5-950bd1b2b4ad · outbound

This paper cites A Critical Review of Recurrent Neural Networks for Sequence Learning,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation A Critical Review of Recurrent Neural Networks for Sequence Learning,

Reference 73

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verified fuzzy
raw_fallback, observed 2026-08-10T20:09:29.171961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:09:23.741598Z digest=sha256:fa971ad0a1fc9459b47cdeeed1ac666dd86a7e4b4860eb0eb06f4c781131c427

Observation ff2a9611-f797-4dae-bf1f-9ed4de2924be · outbound

This paper cites Understanding Hidden Memories of Recurrent Neural Networks,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Understanding Hidden Memories of Recurrent Neural Networks,

Reference 74

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metadata mismatch
raw_fallback, observed 2026-08-10T20:09:26.475592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:09:23.747351Z digest=sha256:37a14873931f027372d680410363030216e1c62c60851db82c3e64fd2248800b

Observation cce06188-a70d-4b59-8f7d-b1e263fb27e1 · outbound

This paper cites Long Short-Term Memory Based Recurrent Neural Network Architectures for Large Vocabulary Speech Recognition.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Long Short-Term Memory Based Recurrent Neural Network Architectures for Large Vocabulary Speech Recognition

Reference 75

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unresolved
no resolver link, observed 2026-08-10T20:09:23.754736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:09:23.754736Z digest=sha256:38320ae30f3f9974c9b37d919d22484445ccec6fa07a9dcc4b064762e6ee5dc1

Observation 6ae34bc1-9ddc-45ea-9833-dcc5853a25ce · outbound

This paper cites The Performance of LSTM and BiLSTM in Forecasting Time Series,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation The Performance of LSTM and BiLSTM in Forecasting Time Series,

Reference 76

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unresolved
no resolver link, observed 2026-08-10T20:09:23.761969Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:09:23.761969Z digest=sha256:87b7ba79b878c87cb1995e3ceb5bb2cde34a33c361008e3ac34cbc64b04cd5c2

Observation 91d24dc8-da31-471e-8647-a52c11f6a870 · outbound

This paper cites Simplified Self -Attention for Transformer-Based end -to-end Speech Recognition,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Simplified Self -Attention for Transformer-Based end -to-end Speech Recognition,

Reference 77

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unresolved
no resolver link, observed 2026-08-10T20:09:23.769750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:09:23.769750Z digest=sha256:ed4dcebbde26f83cdacb566afafd0c12d13fa3c64bd51f7e861eaba152f16638

Observation fd4e44ce-24bd-41a4-8842-1b698fa45918 · outbound

This paper cites Overview of the Transformer-based Models for NLP Tasks,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Overview of the Transformer-based Models for NLP Tasks,

Reference 78

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unresolved
no resolver link, observed 2026-08-10T20:09:23.778226Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:09:23.778226Z digest=sha256:51daa1c8765afaccd57fb1dd2df1f77ce551372296aa16ee58aded0d91b56bf0

Observation 9a85498d-e412-4c89-aee3-9817516f61c1 · outbound

This paper cites BOWL: Bag of Word Clusters Text Representation Using Wor d Embeddings,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation BOWL: Bag of Word Clusters Text Representation Using Wor d Embeddings,

Reference 79

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verified exact
doi, observed 2026-08-10T20:09:24.309298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:09:23.786978Z digest=sha256:e5136fb5da5b7e2c5b95d421825b5b3804e05de3dd0933642e2a187eba7b5fe5

Observation 00324ab5-c6e5-4728-aaac-407b894b5ba6 · outbound

This paper cites Text Segmentation,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Text Segmentation,

Reference 80

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unresolved
no resolver link, observed 2026-08-10T20:09:23.795698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:09:23.795698Z digest=sha256:8f32ad157717e7beb02451b53265b3da0f0eb37881f2668dd2c10371db7b3188

Observation b4829d8b-26a4-4eed-ac54-d5400e0420f1 · outbound

This paper cites A Comparative Study of Stemming Algorithms,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation A Comparative Study of Stemming Algorithms,

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:09:29.147635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:09:23.809758Z digest=sha256:063520bf441ce4b05b89bfff813bcce713a494b07bbcb461b08484c66e149a61

Observation f22b762c-2c34-4b7b-99d0-ad7eb05ea614 · outbound

This paper cites Text Mining: Use of TF -IDF to Examine the Relevance of Words to Documents,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Text Mining: Use of TF -IDF to Examine the Relevance of Words to Documents,

Reference 82

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unresolved
no resolver link, observed 2026-08-10T20:09:23.825656Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:09:23.825656Z digest=sha256:2dbdca43cc4c208ecad09a2cab2cb5a3a53b9c65d41b52ea0218aba96bff1e9d

Observation b3dcffe7-c0d9-4fd9-a604-5738186e8688 · outbound

This paper cites n-Gram Statistics for Natural Language Understanding and Text Processing,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation n-Gram Statistics for Natural Language Understanding and Text Processing,

Reference 83

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unresolved
no resolver link, observed 2026-08-10T20:09:23.838554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:09:23.838554Z digest=sha256:a21ad0d3097170733139330bb874f77eaf638400fb7e8eced8d0cd7d6c667396

Observation 652767b1-809e-4084-888a-c693736132e8 · outbound

This paper cites The Distribution of N-Grams,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation The Distribution of N-Grams,

Reference 84

Resolution
verified exact
doi, observed 2026-08-10T20:09:24.247242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:09:23.847875Z digest=sha256:c69aa594c995b40e4f3d2db7b5bd817c19b5f6d80548cfc8dc960aa2d4b9f15c

Observation 5f4e4b24-1b69-42c8-95c3-892dd76abd6a · outbound

This paper cites Bias in word embeddings,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Bias in word embeddings,

Reference 85

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unresolved
no resolver link, observed 2026-08-10T20:09:23.854884Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:09:23.854884Z digest=sha256:7af28a2500339174c48af911da72268df5826399cd74b46c2ce06dc9f8c327ad

Observation ad209993-896a-4116-876b-0c1ce6c8713f · outbound

This paper cites Text Normalization,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Text Normalization,

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:09:29.104508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:09:23.862384Z digest=sha256:e35b2827ec40e52bb2867337e297ae103fbaabbc1d3d26abcce157285032a7cb

Observation 55c93831-ab4a-4fa7-994c-58b85204048c · outbound

This paper cites Highly Language - Independent Word Lemmatization Using a Machine -Learning Classifier,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Highly Language - Independent Word Lemmatization Using a Machine -Learning Classifier,

Reference 87

Resolution
verified exact
doi, observed 2026-08-10T20:09:24.217193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:09:23.870458Z digest=sha256:8cc7b571457bc1bab6b17ce6f0716b9bdd90fc3d81f5313309ddeb13afea05e1

Observation e0367f43-fad4-4de0-8d01-383ac2775780 · outbound

This paper cites A comparative study of several classification metrics and their performances on data,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation A comparative study of several classification metrics and their performances on data,

Reference 88

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verified exact
doi, observed 2026-08-10T20:09:24.183467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:09:23.882843Z digest=sha256:7e2b2625eac5d6415c59c0fe36ccba2676ae7001d7405afa4b5af902fa98aca7

Pith citing papers

No inbound Pith citation observations are available.