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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
Scalable Visualisation of Sentiment and Stance—0
Scope of Large Language Models for Mining Emerging Opinions in Online Health Discourse—0
Seeing through Deception: A Computational Approach to Deceit Detection in Written Communication—0
Selective Annotation of Sentence Parts: Identification of Relevant Sub-sentential Units—0
Self-training through Classifier Disagreement for Cross-Domain Opinion Target Extraction—0
Semantic Knowledge Discovery and Discussion Mining of Incel Online Community: Topic modeling—0
SenSALDO: Creating a Sentiment Lexicon for Swedish—0
SentiHood: Targeted Aspect Based Sentiment Analysis Dataset for Urban Neighbourhoods—0
Sentiment Analysis : A Literature Survey—0
Sentiment analysis and opinion mining on educational data: A survey—0
Sentiment analysis and opinion mining on E-commerce site—0
Sentiment Analysis: A Survey—0
Sentiment Analysis in the News—0
Sentiment Analysis of Arabic Tweets Using Semantic Resources—0
Sentiment Analysis of German Twitter—0
Sentiment Analysis of Hindi Reviews based on Negation and Discourse Relation—0
Sentiment Analysis of Reviews: Should we analyze writer intentions or reader perceptions?—0
Sentiment Analysis of Tweets in Three Indian Languages—0
Sentiment Analysis of Twitter Data: A Survey of Techniques—0
Sentiment analysis on conversational texts—0
Sentiment Analysis on Customer Responses—0
Sentiment Analysis On Indian Indigenous Languages: A Review On Multilingual Opinion Mining—0
Sentiment analysis on Italian tweets—0
Sentiment Analysis on YouTube: A Brief Survey—0
Sentiment Analysis Using Collaborated Opinion Mining—0
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