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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
IITP: Supervised Machine Learning for Aspect based Sentiment Analysis—0
JU\_CSE: A Conditional Random Field (CRF) Based Approach to Aspect Based Sentiment Analysis—0
SINAI: Voting System for Aspect Based Sentiment Analysis—0
XRCE: Hybrid Classification for Aspect-based Sentiment Analysis—0
UNITOR: Aspect Based Sentiment Analysis with Structured Learning—0
ECNU: Expression- and Message-level Sentiment Orientation Classification in Twitter Using Multiple Effective Features—0
SINAI: Voting System for Twitter Sentiment Analysis—0
SZTE-NLP: Aspect level opinion mining exploiting syntactic cues—0
UMCC\_DLSI: A Probabilistic Automata for Aspect Based Sentiment Analysis—0
Study of Domain Dependant Multi-Polarity Words for Document Level Opinion Mining (Influence des marqueurs multi-polaires d\'ependant du domaine pour la fouille d'opinion au niveau du texte) [in French]—0
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