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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 451–460 of 630 papers

TitleStatusHype
SocialIrony—0
ECNU: Expression- and Message-level Sentiment Orientation Classification in Twitter Using Multiple Effective Features—0
NILC\_USP: Aspect Extraction using Semantic Labels—0
IITP: Supervised Machine Learning for Aspect based Sentiment Analysis—0
A Generative Model for Identifying Target Companies of Microblogs—0
SINAI: Voting System for Aspect Based Sentiment Analysis—0
Reducing Over-Weighting in Supervised Term Weighting for Sentiment Analysis—0
3arif: A Corpus of Modern Standard and Egyptian Arabic Tweets Annotated for Epistemic Modality Using Interactive Crowdsourcing—0
UMCC\_DLSI: A Probabilistic Automata for Aspect Based Sentiment Analysis—0
Automatic Analysis of Scientific and Literary Texts. Presentation and Results of the DEFT2014 Text Mining Challenge (Analyse automatique de textes litt\'eraires et scientifiques : pr\'esentation et r\'esultats du d\'efi fouille de texte DEFT2014) [in French]—0
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