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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 101–110 of 630 papers

TitleStatusHype
Attentive Gated Lexicon Reader with Contrastive Contextual Co-Attention for Sentiment Classification—0
AUEB-ABSA at SemEval-2016 Task 5: Ensembles of Classifiers and Embeddings for Aspect Based Sentiment Analysis—0
A Knowledge-Driven Approach to Classifying Object and Attribute Coreferences in Opinion Mining—0
Automatically Annotating A Five-Billion-Word Corpus of Japanese Blogs for Affect and Sentiment Analysis—0
Automatically Building a Corpus for Sentiment Analysis on Indonesian Tweets—0
Automatically Detecting and Attributing Indirect Quotations—0
Automatic Analysis of Scientific and Literary Texts. Presentation and Results of the DEFT2014 Text Mining Challenge (Analyse automatique de textes litt\'eraires et scientifiques : pr\'esentation et r\'esultats du d\'efi fouille de texte DEFT2014) [in French]—0
Automatic extraction of contextual valence shifters.—0
Automatic Extraction of Polar Adjectives for the Creation of Polarity Lexicons—0
A Joint Sentiment-Target-Stance Model for Stance Classification in Tweets—0
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