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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 141–150 of 630 papers

TitleStatusHype
A Rule-Based Approach to Aspect Extraction from Product Reviews—0
Argumentation Mining: Exploiting Multiple Sources and Background Knowledge—0
Aligning Opinions: Cross-Lingual Opinion Mining with Dependencies—0
A Domain Adaptation Regularization for Denoising Autoencoders—0
A Corpus of Comparisons in Product Reviews—0
A Review on Pushing the Limits of Baseline Recommendation Systems with the integration of Opinion Mining & Information Retrieval Techniques—0
A review corpus annotated for negation, speculation and their scope—0
A Light Lexicon-based Mobile Application for Sentiment Mining of Arabic Tweets—0
A Resource-light Approach to Phrase Extraction for English and German Documents from the Patent Domain and User Generated Content—0
Architecture of Text Mining Application in Analyzing Public Sentiments of West Java Governor Election using Naive Bayes Classification—0
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