Twitter as a Corpus for Sentiment Analysis and Opinion Mining

Alexander Pak; Patrick Paroubek

doi:https://doi.org/10.63317/47akcj8foo4d

Twitter as a Corpus for Sentiment Analysis and Opinion Mining

2010 · 2,719 citations · 0 from inside this corpus

The source holds an abstract for this work, but its best open-access copy is under cc-by-nc, which does not permit us to republish the text. Read it at the source below.

6 of 6 neighbouring works in this corpus. Blue is what this paper cites; orange is what cites it, and a dashed line is one neighbour citing another. Only the largest labels are drawn — every node carries its full title on hover.

this paper works it cites works citing it node size = global citations · hover for the full title

Citation edge evidence

Each row is directed from the citing work to the cited work. Source status remains readable without the interactive graph.

Twitter as a Corpus for Sentiment Analysis and Opinion Mining→Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence DataLegacy edge — source detail unavailable
Twitter as a Corpus for Sentiment Analysis and Opinion Mining→Foundations of statistical natural language processingLegacy edge — source detail unavailable
Twitter as a Corpus for Sentiment Analysis and Opinion Mining→Thumbs up?Legacy edge — source detail unavailable
Twitter as a Corpus for Sentiment Analysis and Opinion Mining→Opinion Mining and Sentiment AnalysisLegacy edge — source detail unavailable
Twitter as a Corpus for Sentiment Analysis and Opinion Mining→Recognizing contextual polarity in phrase-level sentiment analysisLegacy edge — source detail unavailable
Twitter as a Corpus for Sentiment Analysis and Opinion Mining→Mining the peanut galleryLegacy edge — source detail unavailable
Recognizing contextual polarity in phrase-level sentiment analysis→Mining the peanut galleryLegacy edge — source detail unavailable
Opinion Mining and Sentiment Analysis→Recognizing contextual polarity in phrase-level sentiment analysisLegacy edge — source detail unavailable
Opinion Mining and Sentiment Analysis→Mining the peanut galleryLegacy edge — source detail unavailable
Opinion Mining and Sentiment Analysis→Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence DataLegacy edge — source detail unavailable
Opinion Mining and Sentiment Analysis→Thumbs up?Legacy edge — source detail unavailable
Mining the peanut gallery→Thumbs up?Legacy edge — source detail unavailable
Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data→Foundations of statistical natural language processingLegacy edge — source detail unavailable

What this paper cites, inside the corpus

Paper	Year	Cited
Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data	2001	12,994
Foundations of statistical natural language processing	1999	9,997
Thumbs up?	2002	7,057
Opinion Mining and Sentiment Analysis	2008	6,837
Recognizing contextual polarity in phrase-level sentiment analysis	2005	3,383
Mining the peanut gallery	2003	1,922

Links

Download BibTeX · Download RIS · DOI · Open access copy · OpenAlex record

Topics

Sentiment Analysis and Opinion Mining	Computer Science
Topic Modeling	Computer Science
Advanced Text Analysis Techniques	Computer Science

Is this record sound?

complete

Nothing in this record contradicts itself and no field we check is missing.

supports2 author record(s) attached.
supports15 reference(s) recorded.
neutralThe DOI carries no year to check against.
supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:48+00:00.

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