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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 426–450 of 630 papers

TitleStatusHype
Automatically Building a Corpus for Sentiment Analysis on Indonesian Tweets—0
Opinion mining of text documents written in Macedonian language—0
Experiments to Improve Named Entity Recognition on Turkish Tweets—0
A Scalable, Lexicon Based Technique for Sentiment Analysis—0
Positive Unlabeled Learning for Deceptive Reviews Detection—0
A Large Scale Arabic Sentiment Lexicon for Arabic Opinion Mining—0
Vote Prediction on Comments in Social Polls—0
+/-EffectWordNet: Sense-level Lexicon Acquisition for Opinion Inference—0
Joint Emotion Analysis via Multi-task Gaussian Processes—0
A Sentiment-aligned Topic Model for Product Aspect Rating Prediction—0
Opinion Mining with Deep Recurrent Neural Networks—0
Why are You Taking this Stance? Identifying and Classifying Reasons in Ideological Debates—0
Tunisian dialect Wordnet creation and enrichment using web resources and other Wordnets—0
Polarity detection movie reviews in hindi language—0
Opinion mining of movie reviews at document level—0
JU\_CSE: A Conditional Random Field (CRF) Based Approach to Aspect Based Sentiment Analysis—0
Discovering Topical Aspects in Microblogs—0
Chinese Irony Corpus Construction and Ironic Structure Analysis—0
UNITOR: Aspect Based Sentiment Analysis with Structured Learning—0
Part of Speech Tagging for French Social Media Data—0
Automatic Identification of Arabic Language Varieties and Dialects in Social Media—0
A Rule-Based Approach to Aspect Extraction from Product Reviews—0
SZTE-NLP: Aspect level opinion mining exploiting syntactic cues—0
SINAI: Voting System for Twitter Sentiment Analysis—0
XRCE: Hybrid Classification for Aspect-based Sentiment Analysis—0
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