Paper Citation Record · LEDGER

Sentiment Analysis of Typhoon Related Tweets using Standard and Bidirectional Recurrent Neural Networks

As of 23 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.

pith.paper-citation-record.v1
1908.01765 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T15:22:43.089949Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

27 of 27 outbound references displayed

verified exact0
verified fuzzy18
unresolved9
parse uncertain0
malformed identifier0
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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 2026-08-23T06:30:58.430688+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 2026-08-23T06:30:58.430688+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 2026-08-23T06:30:58.430688+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 2026-08-23T06:30:58.430688+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 2026-08-23T06:30:58.430688+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 2026-08-23T06:30:58.430688+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 2026-08-23T06:30:58.430688+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 2026-08-23T06:30:58.430688+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 2026-08-23T06:30:58.430688+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 2026-08-23T06:30:58.430688+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 2026-08-23T06:30:58.430688+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 2026-08-23T06:30:58.430688+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 2026-08-23T06:30:58.430688+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 2026-08-23T06:30:58.430688+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 2026-08-23T06:30:58.430688+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

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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 2026-08-23T06:30:58.430688+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 2026-08-23T06:30:58.430688+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 2026-08-23T06:30:58.430688+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 2026-08-23T06:30:58.430688+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 2026-08-23T06:30:58.430688+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 2026-08-23T06:30:58.430688+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 2026-08-23T06:30:58.430688+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 2026-08-23T06:30:58.430688+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 2026-08-23T06:30:58.430688+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 2026-08-23T06:30:58.430688+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 2026-08-23T06:30:58.430688+00:00.

Pith citing papers

No inbound Pith citation observations are available.