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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

Showing 426450 of 630 papers

TitleStatusHype
Determing Trustworthiness in E-Commerce Customer Reviews0
Opinion mining of text documents written in Macedonian language0
Experiments to Improve Named Entity Recognition on Turkish Tweets0
A Scalable, Lexicon Based Technique for Sentiment Analysis0
A Large Scale Arabic Sentiment Lexicon for Arabic Opinion Mining0
Tunisian dialect Wordnet creation and enrichment using web resources and other Wordnets0
Joint Emotion Analysis via Multi-task Gaussian Processes0
Opinion Mining with Deep Recurrent Neural Networks0
Vote Prediction on Comments in Social Polls0
+/-EffectWordNet: Sense-level Lexicon Acquisition for Opinion Inference0
Why are You Taking this Stance? Identifying and Classifying Reasons in Ideological Debates0
A Sentiment-aligned Topic Model for Product Aspect Rating Prediction0
Positive Unlabeled Learning for Deceptive Reviews Detection0
Polarity detection movie reviews in hindi language0
Opinion mining of movie reviews at document level0
3arif: A Corpus of Modern Standard and Egyptian Arabic Tweets Annotated for Epistemic Modality Using Interactive Crowdsourcing0
Discovering Topical Aspects in Microblogs0
Reducing Over-Weighting in Supervised Term Weighting for Sentiment Analysis0
A Generative Model for Identifying Target Companies of Microblogs0
Chinese Irony Corpus Construction and Ironic Structure Analysis0
Part of Speech Tagging for French Social Media Data0
SocialIrony0
Automatic Identification of Arabic Language Varieties and Dialects in Social Media0
A Rule-Based Approach to Aspect Extraction from Product Reviews0
NILC\_USP: Aspect Extraction using Semantic Labels0
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