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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 561–570 of 630 papers

TitleStatusHype
Who cares about Sarcastic Tweets? Investigating the Impact of Sarcasm on Sentiment Analysis.—0
Why are You Taking this Stance? Identifying and Classifying Reasons in Ideological Debates—0
Why Words Alone Are Not Enough: Error Analysis of Lexicon-based Polarity Classifier for Czech—0
Word-level Language Identification in Bi-lingual Code-switched Texts—0
XRCE: Hybrid Classification for Aspect-based Sentiment Analysis—0
YNU-HPCC at SemEval-2019 Task 9: Using a BERT and CNN-BiLSTM-GRU Model for Suggestion Mining—0
TGB at SemEval-2016 Task 5: Multi-Lingual Constraint System for Aspect Based Sentiment Analysis—0
3arif: A Corpus of Modern Standard and Egyptian Arabic Tweets Annotated for Epistemic Modality Using Interactive Crowdsourcing—0
A Cascaded Approach for Social Media Text Normalization of Turkish—0
A Case Study of Spanish Text Transformations for Twitter Sentiment Analysis—0
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