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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 201–210 of 630 papers

TitleStatusHype
Determing Trustworthiness in E-Commerce Customer Reviews—0
Determining sentiment in citation text and analyzing its impact on the proposed ranking index—0
A Japanese Corpus for Analyzing Customer Loyalty Information—0
Dialect Identification through Adversarial Learning and Knowledge Distillation on Romanian BERT—0
DIEGOLab: An Approach for Message-level Sentiment Classification in Twitter—0
Disambiguating False-Alarm Hashtag Usages in Tweets for Irony Detection—0
Building and exploiting a French corpus for sentiment analysis (Construction et exploitation d'un corpus fran pour l'analyse de sentiment) [in French]—0
Discovering Airline-Specific Business Intelligence from Online Passenger Reviews: An Unsupervised Text Analytics Approach—0
Automatically Annotating A Five-Billion-Word Corpus of Japanese Blogs for Affect and Sentiment Analysis—0
Bootstrapping an Unsupervised Approach for Classifying Agreement and Disagreement—0
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