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Opinion Mining

Identifying and categorizing opinions expressed in a piece of text, especially in order to determine whether the writer's attitude towards a particular topic, product, etc. is positive, negative, or neutral (Source: Oxford Languages)

Image Source: Deep learning for sentiment analysis: A survey

Papers

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Showing 551–560 of 630 papers

TitleStatusHype
Sur l'application de m\'ethodes textom\'etriques \`a la construction de crit\`eres de classification en analyse des sentiments (About the application of textometric methods for developing classi!cation criteria in Sentiment analysis) [in French]—0
SVNIT @ SemEval 2017 Task-6: Learning a Sense of Humor Using Supervised Approach—0
SWASH: A Naive Bayes Classifier for Tweet Sentiment Identification—0
Syntactically Meaningful and Transferable Recursive Neural Networks for Aspect and Opinion Extraction—0
Syntactic Patterns versus Word Alignment: Extracting Opinion Targets from Online Reviews—0
SZTE-NLP: Aspect level opinion mining exploiting syntactic cues—0
TAJJEB at SemEval-2018 Task 2: Traditional Approaches Just Do the Job with Emoji Prediction—0
TDParse: Multi-target-specific sentiment recognition on Twitter—0
teragram: Rule-based detection of sentiment phrases using SAS Sentiment Analysis—0
Text Categorization as a Graph Classification Problem—0
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