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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 591–600 of 630 papers

TitleStatusHype
Cross-Domain Co-Extraction of Sentiment and Topic Lexicons—0
Cross-Lingual Mixture Model for Sentiment Classification—0
How to Evaluate Opinionated Keyphrase Extraction?—0
Opinion Target Extraction Using Word-Based Translation Model—0
A Weakly Supervised Model for Sentence-Level Semantic Orientation Analysis with Multiple Experts—0
Genre Independent Subgroup Detection in Online Discussion Threads: A Study of Implicit Attitude using Textual Latent Semantics—0
UNITOR: Combining Semantic Text Similarity functions through SV Regression—0
Automatically Annotating A Five-Billion-Word Corpus of Japanese Blogs for Affect and Sentiment Analysis—0
Contingency and Comparison Relation Labeling and Structure Prediction in Chinese Sentences—0
A Graphical User Interface for Feature-Based Opinion Mining—0
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