Paper Citation Record · LEDGER

Twitter Sentiment on Affordable Care Act using Score Embedding

As of 21 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:1908.07061.

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

pith.paper-citation-record.v1
1908.07061 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T12:35:07.125572Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

31 of 31 outbound references displayed

verified exact2
verified fuzzy27
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4931bf44-d38a-4a37-b6d2-e8c402a1fd4f · outbound

This paper cites Sentiwordnet 3.0: an enhanced lex- ical resource for sentiment analysis and opinion mining.

Twitter Sentiment on Affordable Care Act using Score Embedding Sentiwordnet 3.0: an enhanced lex- ical resource for sentiment analysis and opinion mining

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:35:07.791962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation cc07608d-901f-450d-ad25-e9856a308f03 · outbound

This paper cites On using twitter to monitor political sentiment and predict election results.

Twitter Sentiment on Affordable Care Act using Score Embedding On using twitter to monitor political sentiment and predict election results

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:35:07.771535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3bfe1bcf-5230-49c4-9ec3-ed71edda45a1 · outbound

This paper cites From unlabelled tweets to twitter-speciﬁc opinion words.

Twitter Sentiment on Affordable Care Act using Score Embedding From unlabelled tweets to twitter-speciﬁc opinion words

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:35:07.749456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ad6593d6-1292-41f5-85be-162a17a51851 · outbound

This paper cites Natural language processing (almost) from scratch.

Twitter Sentiment on Affordable Care Act using Score Embedding Natural language processing (almost) from scratch

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:35:07.733284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 82e89634-a02d-4cf7-bbb9-86f524960789 · outbound

This paper cites Adaptive subgradient methods for online learn- ing and stochastic optimization.Journal of Ma- chine Learning Research, 12(Jul), 2011.

Twitter Sentiment on Affordable Care Act using Score Embedding Adaptive subgradient methods for online learn- ing and stochastic optimization.Journal of Ma- chine Learning Research, 12(Jul), 2011

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:35:07.712358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2555e837-ce65-441c-9a0f-c63a682d20c8 · outbound

This paper cites Modeling customer satisfaction from unstructured data using a bayesian ap- proach.

Twitter Sentiment on Affordable Care Act using Score Embedding Modeling customer satisfaction from unstructured data using a bayesian ap- proach

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:35:07.691762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6d7631e3-6714-4832-861d-93dc4b9626d3 · outbound

This paper cites Multi- class sentiment analysis with clustering and score representation.

Twitter Sentiment on Affordable Care Act using Score Embedding Multi- class sentiment analysis with clustering and score representation

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:35:07.675264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 83a082e6-81ae-4220-810f-5eb216229e3b · outbound

This paper cites Funda- mentals of sentiment analysis and its applica- tions.

Twitter Sentiment on Affordable Care Act using Score Embedding Funda- mentals of sentiment analysis and its applica- tions

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:35:07.655877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4d8d8ff7-f49f-435a-a03e-390e19824bfa · outbound

This paper cites A synopsis of linguistic theory, 1930-1955.

Twitter Sentiment on Affordable Care Act using Score Embedding A synopsis of linguistic theory, 1930-1955

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:35:07.638143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8e2ecd3a-582c-4bb7-b5fc-e27c3c4f2118 · outbound

This paper cites Modeling inter- estingness with deep neural networks, Decem- ber 17 2015.

Twitter Sentiment on Affordable Care Act using Score Embedding Modeling inter- estingness with deep neural networks, Decem- ber 17 2015

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:35:07.619573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d94912b9-9914-4c43-9883-09cd681553bc · outbound

This paper cites Inducing Domain-Specific Sentiment Lexicons from Unlabeled Corpora.

Twitter Sentiment on Affordable Care Act using Score Embedding Inducing Domain-Specific Sentiment Lexicons from Unlabeled Corpora

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-08-14T12:35:07.248412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation db1f4b6a-ecb7-4df9-954c-939e994c9cbb · outbound

This paper cites Mining and summa- rizing customer reviews.

Twitter Sentiment on Affordable Care Act using Score Embedding Mining and summa- rizing customer reviews

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:35:07.603570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b38039dc-7714-45d2-8f2e-db74665311b6 · outbound

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

Twitter Sentiment on Affordable Care Act using Score Embedding Effective Use of Word Order for Text Categorization with Convolutional Neural Networks

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-14T12:35:07.030889Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 845a5253-16b3-4d64-8c50-b55235d7d8ce · outbound

This paper cites Convolutional neural networks for sentence classiﬁcation.

Twitter Sentiment on Affordable Care Act using Score Embedding Convolutional neural networks for sentence classiﬁcation

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:35:07.586115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e079e24f-f21b-4a8a-a788-f5321984c7cc · outbound

This paper cites Re-embedding words.

Twitter Sentiment on Affordable Care Act using Score Embedding Re-embedding words

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:35:07.553486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 94e89639-4d62-4bcf-b416-5f07ca4be99e · outbound

This paper cites Distributed repre- sentations of sentences and documents.

Twitter Sentiment on Affordable Care Act using Score Embedding Distributed repre- sentations of sentences and documents

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:35:07.529105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d09a5b88-4187-449f-b343-b8ef0622703b · outbound

This paper cites Gradient-based learning ap- plied to document recognition.

Twitter Sentiment on Affordable Care Act using Score Embedding Gradient-based learning ap- plied to document recognition

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:35:07.502519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d7186349-f6bc-468c-8a2f-d1a662040e6e · outbound

This paper cites Learning word vectors for sentiment analysis.

Twitter Sentiment on Affordable Care Act using Score Embedding Learning word vectors for sentiment analysis

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:35:07.485710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ad977169-61b0-4798-bf32-df310f357610 · outbound

This paper cites Efficient Estimation of Word Representations in Vector Space.

Twitter Sentiment on Affordable Care Act using Score Embedding Efficient Estimation of Word Representations in Vector Space

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-14T12:35:07.061340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0f75103-d98b-4ace-91ad-018985bc3f74 · outbound

This paper cites Distributed rep- resentationsofwordsandphrasesandtheircom- positionality.

Twitter Sentiment on Affordable Care Act using Score Embedding Distributed rep- resentationsofwordsandphrasesandtheircom- positionality

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:35:07.469175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2044684d-4606-4349-9a33-b8225abab08f · outbound

This paper cites Wordnet: alexicaldatabasefor english.

Twitter Sentiment on Affordable Care Act using Score Embedding Wordnet: alexicaldatabasefor english

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:35:07.448710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f942ae75-bd7b-4c7a-b03a-6f1781b86ac4 · outbound

This paper cites NRC-Canada: Building the State-of-the-Art in Sentiment Analysis of Tweets.

Twitter Sentiment on Affordable Care Act using Score Embedding NRC-Canada: Building the State-of-the-Art in Sentiment Analysis of Tweets

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-08-14T12:35:07.185388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4d1e2c13-539b-4cb5-99d7-67adc6951938 · outbound

This paper cites Opinion mining and sentiment analysis.

Twitter Sentiment on Affordable Care Act using Score Embedding Opinion mining and sentiment analysis

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:35:07.432565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0d8af846-8ae6-4eda-8fd4-9cb2434ba5b0 · outbound

This paper cites Compass: Spatio temporal sentiment analysis of us election what twitter says! In Proceedings of the 23rd ACM SIGKDD.

Twitter Sentiment on Affordable Care Act using Score Embedding Compass: Spatio temporal sentiment analysis of us election what twitter says! In Proceedings of the 23rd ACM SIGKDD

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:35:07.415734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 94a847e8-59f6-42a9-986f-c588e689bcb2 · outbound

This paper cites Glove: Global vectors for word representation.

Twitter Sentiment on Affordable Care Act using Score Embedding Glove: Global vectors for word representation

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:35:07.398439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation fd2f48b8-7e9c-4291-9ea7-fa062b324f64 · outbound

This paper cites Semantic composi- tionalitythroughrecursivematrix-vectorspaces.

Twitter Sentiment on Affordable Care Act using Score Embedding Semantic composi- tionalitythroughrecursivematrix-vectorspaces

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:35:07.380765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 050d30e1-b3c8-443d-a3dc-feb7a5466726 · outbound

This paper cites Semi-supervised recursive autoencoders for predicting sentiment distributions.

Twitter Sentiment on Affordable Care Act using Score Embedding Semi-supervised recursive autoencoders for predicting sentiment distributions

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:35:07.361078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 854d6f50-0e14-442d-8391-78967df51155 · outbound

This paper cites Recursive deep models for semantic compositionality over a sentiment treebank.

Twitter Sentiment on Affordable Care Act using Score Embedding Recursive deep models for semantic compositionality over a sentiment treebank

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:35:07.342193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9481c8d6-32b2-45fb-aa4c-5b39963f08b6 · outbound

This paper cites Learning sentiment- speciﬁc word embedding for twitter sentiment classiﬁcation.

Twitter Sentiment on Affordable Care Act using Score Embedding Learning sentiment- speciﬁc word embedding for twitter sentiment classiﬁcation

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:35:07.318807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 92fdffa3-c18f-4a1d-83e3-3deb65b245ea · outbound

This paper cites # tagspace: Semantic embeddings from hash- tags.

Twitter Sentiment on Affordable Care Act using Score Embedding # tagspace: Semantic embeddings from hash- tags

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:35:07.297316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6b9432f0-b1a9-48ee-ae5a-5bd126d8282b · outbound

This paper cites Com- positional matrix-space models for sentiment analysis.

Twitter Sentiment on Affordable Care Act using Score Embedding Com- positional matrix-space models for sentiment analysis

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:35:07.268987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Pith citing papers

No inbound Pith citation observations are available.