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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 51–75 of 630 papers

TitleStatusHype
A Generative Model for Identifying Target Companies of Microblogs—0
Analysis of Inferences in Chinese for Opinion Mining—0
Analysis of opinionated text for opinion mining—0
A graphical framework to detect and categorize diverse opinions from online news—0
An annotated corpus of quoted opinions in news articles—0
An combined sentiment classification system for SIGHAN-8—0
An Empirical Examination of Online Restaurant Reviews—0
A Neural Network Component for Knowledge-Based Semantic Representations of Text—0
An Evaluation of the Brazilian Portuguese LIWC Dictionary for Sentiment Analysis—0
An Integrated NPL Approach to Sentiment Analysis in Satisfaction Surveys—0
Annotating Attribution Relations in Arabic—0
Annotating Italian Social Media Texts in Universal Dependencies—0
A Light Lexicon-based Mobile Application for Sentiment Mining of Arabic Tweets—0
A Large Wordnet-based Sentiment Lexicon for Polish—0
A Dictionary-Based Approach to Identifying Aspects Implied by Adjectives for Opinion Mining—0
A Large Scale Arabic Sentiment Lexicon for Arabic Opinion Mining—0
ARAACOM: ARAbic Algerian Corpus for Opinion Mining—0
A Large Corpus of Product Reviews in Portuguese: Tackling Out-Of-Vocabulary Words—0
A Deep Neural Network based Approach for Entity Extraction in Code-Mixed Indian Social Media Text—0
A Comprehensive Review on Sentiment Analysis: Tasks, Approaches and Applications—0
A quantitative analysis of gender differences in movies using psycholinguistic normatives—0
Arabic Opinion Mining Using a Hybrid Recommender System Approach—0
Arabizi Language Models for Sentiment Analysis—0
Arabizi sentiment analysis based on transliteration and automatic corpus annotation—0
Approaches for Sentiment Analysis on Twitter: A State-of-Art study—0
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