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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 391–400 of 630 papers

TitleStatusHype
Instance Selection Improves Cross-Lingual Model Training for Fine-Grained Sentiment Analysis—0
The UniTN Discourse Parser in CoNLL 2015 Shared Task: Token-level Sequence Labeling with Argument-specific Models—0
Sentiment and Belief: How to Think about, Represent, and Annotate Private States—0
Sentiment-Aspect Extraction based on Restricted Boltzmann Machines—0
Text Categorization as a Graph Classification Problem—0
Aligning Opinions: Cross-Lingual Opinion Mining with Dependencies—0
Improving social relationships in face-to-face human-agent interactions: when the agent wants to know user's likes and dislikes—0
Transferring Coreference Resolvers with Posterior Regularization—0
Learning Semantic Representations of Users and Products for Document Level Sentiment Classification—0
Prior Polarity Lexical Resources for the Italian Language—0
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