Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T15:22:43.089949Z
Paper Citation Record · LEDGER
Sentiment Analysis of Typhoon Related Tweets using Standard and Bidirectional Recurrent Neural Networks
As of 16 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:1908.01765.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
27 of 27 outbound references displayed
- verified exact0
- verified fuzzy18
- unresolved9
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation eb36d968-0461-413c-98f4-9c7a687ac079 · outbound
This paper cites an unresolved cited work.
Sentiment Analysis of Typhoon Related Tweets using Standard and Bidirectional Recurrent Neural Networks Unresolved cited work
Reference 1
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T15:22:43.717109Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 6e848882-b631-44e4-bc20-163801caa937 · outbound
This paper cites [8] Facebook and Twitter have become indispensable tools for organizations, especially during times of disaster or crisis.
Sentiment Analysis of Typhoon Related Tweets using Standard and Bidirectional Recurrent Neural Networks [8] Facebook and Twitter have become indispensable tools for organizations, especially during times of disaster or crisis
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T15:22:43.698250Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 101088ad-ae79-4b10-8678-0a05944dd63d · outbound
This paper cites an unresolved cited work.
Sentiment Analysis of Typhoon Related Tweets using Standard and Bidirectional Recurrent Neural Networks Unresolved cited work
Reference 3
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T15:22:43.677837Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c2b15787-6ed7-4295-aa66-9e9ec7b6852a · outbound
This paper cites an unresolved cited work.
Sentiment Analysis of Typhoon Related Tweets using Standard and Bidirectional Recurrent Neural Networks Unresolved cited work
Reference 4
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T15:22:43.639632Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation e37ca039-024d-4fd5-af03-226da90c3665 · outbound
This paper cites an unresolved cited work.
Sentiment Analysis of Typhoon Related Tweets using Standard and Bidirectional Recurrent Neural Networks Unresolved cited work
Reference 5
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T15:22:43.619173Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 0d6625cd-6144-449b-b461-2fae1b78fc8d · outbound
This paper cites Nathaniel Oco and his team at National University for providing continuous support and advice in this study.
Sentiment Analysis of Typhoon Related Tweets using Standard and Bidirectional Recurrent Neural Networks Nathaniel Oco and his team at National University for providing continuous support and advice in this study
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T15:22:43.602469Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation f127d105-2011-4d75-9e4f-54543e85a93a · outbound
This paper cites Deep Convolutional Neural Networks for Sentiment Analysis of Short Texts.
Sentiment Analysis of Typhoon Related Tweets using Standard and Bidirectional Recurrent Neural Networks Deep Convolutional Neural Networks for Sentiment Analysis of Short Texts
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T15:22:43.436323Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 18999d68-bf7f-48db-8c09-264d1aec5a11 · outbound
This paper cites (2017, July 19).
Sentiment Analysis of Typhoon Related Tweets using Standard and Bidirectional Recurrent Neural Networks (2017, July 19)
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T15:22:43.579210Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 9a44e239-f401-451f-98d0-a6495bf440b4 · outbound
This paper cites (2016, July 08).
Sentiment Analysis of Typhoon Related Tweets using Standard and Bidirectional Recurrent Neural Networks (2016, July 08)
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T15:22:43.560634Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 0ba0e186-dd95-4213-bf86-065d54d42cfc · outbound
This paper cites (2013, November 11).
Sentiment Analysis of Typhoon Related Tweets using Standard and Bidirectional Recurrent Neural Networks (2013, November 11)
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T15:22:43.520473Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation e23aca17-c5c7-4c16-9eec-b23c65ed5d12 · outbound
This paper cites an unresolved cited work.
Sentiment Analysis of Typhoon Related Tweets using Standard and Bidirectional Recurrent Neural Networks Unresolved cited work
Reference 11
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T15:22:43.497506Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 10e928c8-8361-4951-a844-708b4bd3c861 · outbound
This paper cites PLoS ONE 11(3): e0150190.
Sentiment Analysis of Typhoon Related Tweets using Standard and Bidirectional Recurrent Neural Networks PLoS ONE 11(3): e0150190
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T15:22:43.478385Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 910bbc90-0ec1-4864-beb3-36d26a191953 · outbound
This paper cites Twitter Might Make Tweets Longer. Here’s Why They’re 140 Characters to Begin with.
Sentiment Analysis of Typhoon Related Tweets using Standard and Bidirectional Recurrent Neural Networks Twitter Might Make Tweets Longer. Here’s Why They’re 140 Characters to Begin with
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T15:22:43.459282Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 4c6ba1ca-ae76-4c26-8de8-90a1ea32fa8d · outbound
This paper cites (2015, August 05).
Sentiment Analysis of Typhoon Related Tweets using Standard and Bidirectional Recurrent Neural Networks (2015, August 05)
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T15:22:43.314087Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ff3e55ed-7bc9-49cb-89f2-fe9d2bbaff3d · outbound
This paper cites Fire, Wind and Water: Social Networks in Natural Disasters.
Sentiment Analysis of Typhoon Related Tweets using Standard and Bidirectional Recurrent Neural Networks Fire, Wind and Water: Social Networks in Natural Disasters
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T15:22:43.416596Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 0844a63f-f769-4ad1-9f6d-3547dd5fd3e2 · outbound
This paper cites an unresolved cited work.
Sentiment Analysis of Typhoon Related Tweets using Standard and Bidirectional Recurrent Neural Networks Unresolved cited work
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T15:22:43.030232Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 480e2c64-05dc-4326-bc63-553682d54b0d · outbound
This paper cites an unresolved cited work.
Sentiment Analysis of Typhoon Related Tweets using Standard and Bidirectional Recurrent Neural Networks Unresolved cited work
Reference 17
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T15:22:43.394382Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation dee29e97-8708-4734-9c1d-a70f970b01e9 · outbound
This paper cites an unresolved cited work.
Sentiment Analysis of Typhoon Related Tweets using Standard and Bidirectional Recurrent Neural Networks Unresolved cited work
Reference 18
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T15:22:43.369272Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ecefb347-819f-4769-8dc9-9befeef2f339 · outbound
This paper cites Dropout:A simple way to prevent neural networks from overfitting.
Sentiment Analysis of Typhoon Related Tweets using Standard and Bidirectional Recurrent Neural Networks Dropout:A simple way to prevent neural networks from overfitting
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T15:22:43.348155Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 489620c3-8e62-403f-b252-ee9e6da4cf95 · outbound
This paper cites an unresolved cited work.
Sentiment Analysis of Typhoon Related Tweets using Standard and Bidirectional Recurrent Neural Networks Unresolved cited work
Reference 20
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T15:22:43.330328Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 3968ca0d-9d86-4534-af5c-11dc0f1294ff · outbound
This paper cites (2013, November 16).
Sentiment Analysis of Typhoon Related Tweets using Standard and Bidirectional Recurrent Neural Networks (2013, November 16)
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T15:22:43.288994Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c4c050a2-2c69-4f81-8cd1-9175e3d764ad · outbound
This paper cites PH spends most time online and on social media – report.
Sentiment Analysis of Typhoon Related Tweets using Standard and Bidirectional Recurrent Neural Networks PH spends most time online and on social media – report
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T15:22:43.259461Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation d8e1b2ec-7900-4d53-b03a-0c57cbc03ba8 · outbound
This paper cites Retrieved November 24, 2017, from https://www.brandwatch.com/blog/understanding-sentiment- analysis/.
Sentiment Analysis of Typhoon Related Tweets using Standard and Bidirectional Recurrent Neural Networks Retrieved November 24, 2017, from https://www.brandwatch.com/blog/understanding-sentiment- analysis/
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T15:22:43.242603Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation e3beb005-7ec0-4096-b4de-a6c36262faf8 · outbound
This paper cites Retrieved November 21, 2017, from http://www.gmanetwork.com/news/scitech/science/334571/s uper-typhoon-yolanda-is-strongest-storm-ever-to-make- landfall-in-recorded-history/story/.
Sentiment Analysis of Typhoon Related Tweets using Standard and Bidirectional Recurrent Neural Networks Retrieved November 21, 2017, from http://www.gmanetwork.com/news/scitech/science/334571/s uper-typhoon-yolanda-is-strongest-storm-ever-to-make- landfall-in-recorded-history/story/
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T15:22:43.221755Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 7cd83ad7-9a37-4cc8-bea1-64161d355885 · outbound
This paper cites Retrieved November 21, 2017, from https://www.omnicoreagency.com/twitter-statistics/.
Sentiment Analysis of Typhoon Related Tweets using Standard and Bidirectional Recurrent Neural Networks Retrieved November 21, 2017, from https://www.omnicoreagency.com/twitter-statistics/
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T15:22:43.198704Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation bea26b5c-f8a7-4808-909e-ba0f816e93aa · outbound
This paper cites D., Burnett, E., Lamm, A., & Lucas, J.
Sentiment Analysis of Typhoon Related Tweets using Standard and Bidirectional Recurrent Neural Networks D., Burnett, E., Lamm, A., & Lucas, J
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T15:22:43.171819Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 0961ab65-59c6-4aaf-bb0a-3adc185babe4 · outbound
This paper cites 3.2 Data Preprocessing Dataset that will be used should be cleaned to avoid inclusion of noise and unnecessary information during training.
Sentiment Analysis of Typhoon Related Tweets using Standard and Bidirectional Recurrent Neural Networks 3.2 Data Preprocessing Dataset that will be used should be cleaned to avoid inclusion of noise and unnecessary information during training
Reference 2014
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T15:22:43.656645Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Pith citing papers
No inbound Pith citation observations are available.