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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 361–370 of 630 papers

TitleStatusHype
Sentiment Classification of Arabic Documents: Experiments with multi-type features and ensemble algorithms—0
Toward a Corpus of Cantonese Verbal Comments and their Classification by Multi-dimensional Analysis—0
Sentiment Analyzer with Rich Features for Ironic and Sarcastic Tweets—0
Opinion mining from twitter data using evolutionary multinomial mixture models—0
Learning Relationship between Authors' Activity and Sentiments: A case study of online medical forums—0
Towards a Lexicon-grammar based Framework for NLP: an Opinion Mining Application—0
Lost in Discussion? Tracking Opinion Groups in Complex Political Discussions by the Example of the FOMC Meeting Transcriptions—0
A Large Wordnet-based Sentiment Lexicon for Polish—0
Named Entity Recognition of Persons' Names in Arabic Tweets—0
Unsupervised Topic-Specific Domain Dependency Graphs for Aspect Identification in Sentiment Analysis—0
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