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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 501–525 of 630 papers

TitleStatusHype
Evaluation of different strategies for domain adaptation in opinion mining—0
Votter Corpus: A Corpus of Social Polling Language—0
Toward a unifying model for Opinion, Sentiment and Emotion information extraction—0
A Corpus of Comparisons in Product Reviews—0
Opinion Mining In Hindi Language: A Survey—0
A Cascaded Approach for Social Media Text Normalization of Turkish—0
Towards Cross-Domain PDTB-Style Discourse Parsing—0
Some Issues on the Normalization of a Corpus of Products Reviews in Portuguese—0
Finding Arguing Expressions of Divergent Viewpoints in Online Debates—0
Simple, Robust and (almost) Unsupervised Generation of Polarity Lexicons for Multiple Languages—0
Modelling Irony in Twitter—0
Sentiment Analysis Using Collaborated Opinion Mining—0
Joint Modeling of Opinion Expression Extraction and Attribute Classification—0
Subjectivity Classification using Machine Learning Techniques for Mining Feature-Opinion Pairs from Web Opinion Sources—0
Examining the Impact of Coreference Resolution on Quote Attribution—0
Romanization-based Approach to Morphological Analysis in Korean SMS Text Processing—0
Construction of Emotional Lexicon Using Potts Model—0
Enhancing Lexicon-Based Review Classification by Merging and Revising Sentiment Dictionaries—0
Extracting Evaluative Conditions from Online Reviews: Toward Enhancing Opinion Mining—0
Stance Classification of Ideological Debates: Data, Models, Features, and Constraints—0
Topic Modeling with Sentiment Clues and Relaxed Labeling Schema—0
Modeling the Helpful Opinion Mining of Online Consumer Reviews as a Classification Problem—0
The New Eye of Government: Citizen Sentiment Analysis in Social Media—0
Why Words Alone Are Not Enough: Error Analysis of Lexicon-based Polarity Classifier for Czech—0
Sentiment Analysis of Hindi Reviews based on Negation and Discourse Relation—0
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