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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 331–340 of 630 papers

TitleStatusHype
Identifying Sentiment Words Using an Optimization-based Model without Seed Words—0
Idioms-Proverbs Lexicon for Modern Standard Arabic and Colloquial Sentiment Analysis—0
IITP: Supervised Machine Learning for Aspect based Sentiment Analysis—0
IIT-TUDA at SemEval-2016 Task 5: Beyond Sentiment Lexicon: Combining Domain Dependency and Distributional Semantics Features for Aspect Based Sentiment Analysis—0
IJCNLP-2017 Task 3: Review Opinion Diversification (RevOpiD-2017)—0
Implicit Aspect Detection in Restaurant Reviews using Cooccurence of Words—0
Implicit Discourse Relation Detection via a Deep Architecture with Gated Relevance Network—0
Implicit Feature Detection via a Constrained Topic Model and SVM—0
Implicit Polarity and Implicit Aspect Recognition in Opinion Mining—0
Improving Minor Opinion Polarity Classification with Named Entity Analysis (L'apport des Entit\'es Nomm\'ees pour la classification des opinions minoritaires) [in French]—0
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