Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T12:35:07.125572Z
Paper Citation Record · LEDGER
Twitter Sentiment on Affordable Care Act using Score Embedding
As of 16 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.
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
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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+00:00.
Pith citing papers
No inbound Pith citation observations are available.