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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 521–530 of 630 papers

TitleStatusHype
Towards the Extraction of Customer-to-Customer Suggestions from Reviews—0
Tracing Linguistic Relations in Winning and Losing Sides of Explicit Opposing Groups—0
Trainable Citation-enhanced Summarization of Scientific Articles—0
Training Neural Networks for Aspect Extraction Using Descriptive Keywords Only—0
Transductive Adaptation of Black Box Predictions—0
Transferring Coreference Resolvers with Posterior Regularization—0
Tunisian dialect Wordnet creation and enrichment using web resources and other Wordnets—0
Tweester at SemEval-2016 Task 4: Sentiment Analysis in Twitter Using Semantic-Affective Model Adaptation—0
TwiSe at SemEval-2017 Task 4: Five-point Twitter Sentiment Classification and Quantification—0
Twitter Opinion Topic Model: Extracting Product Opinions from Tweets by Leveraging Hashtags and Sentiment Lexicon—0
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