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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
Sentiment Analyzer with Rich Features for Ironic and Sarcastic Tweets—0
Sentiment and Belief: How to Think about, Represent, and Annotate Private States—0
Sentiment-Aspect Extraction based on Restricted Boltzmann Machines—0
Sentiment Classification in Swahili Language Using Multilingual BERT—0
Sentiment Classification of Arabic Documents: Experiments with multi-type features and ensemble algorithms—0
Sentiment Classification towards Question-Answering with Hierarchical Matching Network—0
Sentiment Lexicon Interpolation and Polarity Estimation of Objective and Out-Of-Vocabulary Words to Improve Sentiment Classification on Microblogging—0
SentiSys at SemEval-2016 Task 5: Opinion Target Extraction and Sentiment Polarity Detection—0
SentiTel: TABSA for Twitter reviews on Uganda Telecoms—0
Sentiue: Target and Aspect based Sentiment Analysis in SemEval-2015 Task 12—0
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