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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 461–470 of 630 papers

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Decomposing Hashtags to Improve Tweet Polarity Classification (D\'ecomposition des « hash tags » pour l'am\'elioration de la classification en polarit\'e des « tweets ») [in French]—0
Study of Domain Dependant Multi-Polarity Words for Document Level Opinion Mining (Influence des marqueurs multi-polaires dépendant du domaine pour la fouille d’opinion au niveau du texte) [in French]—0
Automatic Analysis of Scientific and Literary Texts. Presentation and Results of the DEFT2014 Text Mining Challenge (Analyse automatique de textes litt\'eraires et scientifiques : pr\'esentation et r\'esultats du d\'efi fouille de texte DEFT2014) [in French]—0
Fine-grained semantic categorization of opinion expressions for consensus detection (Cat\'egorisation s\'emantique fine des expressions d'opinion pour la d\'etection de consensus) [in French]—0
Mining of product reviews at aspect level—0
Opinion Mining and Topic Categorization with Novel Term Weighting—0
Generating Subjective Responses to Opinionated Articles in Social Media: An Agenda-Driven Architecture and a Turing-Like Test—0
Towards segment-based recognition of argumentation structure in short texts—0
Back up your Stance: Recognizing Arguments in Online Discussions—0
Automatic Keyphrase Extraction: A Survey of the State of the Art—0
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