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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 301–310 of 630 papers

TitleStatusHype
Lifelong-RL: Lifelong Relaxation Labeling for Separating Entities and Aspects in Opinion Targets—0
Effective Greedy Inference for Graph-based Non-Projective Dependency Parsing—0
Context-Sensitive Lexicon Features for Neural Sentiment AnalysisCode0
Generating Abbreviations for Chinese Named Entities Using Recurrent Neural Network with Dynamic Dictionary—0
Regularizing Text Categorization with Clusters of Words—0
Learning to Represent Review with Tensor Decomposition for Spam Detection—0
SentiHood: Targeted Aspect Based Sentiment Analysis Dataset for Urban Neighbourhoods—0
Computing Sentiment Scores of Verb Phrases for Vietnamese—0
Twitter Opinion Topic Model: Extracting Product Opinions from Tweets by Leveraging Hashtags and Sentiment Lexicon—0
A Hierarchical Model of Reviews for Aspect-based Sentiment Analysis—0
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