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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 401–425 of 630 papers

TitleStatusHype
Idioms-Proverbs Lexicon for Modern Standard Arabic and Colloquial Sentiment Analysis—0
ValenTo: Sentiment Analysis of Figurative Language Tweets with Irony and Sarcasm—0
Identifying Prominent Arguments in Online Debates Using Semantic Textual Similarity—0
NLANGP: Supervised Machine Learning System for Aspect Category Classification and Opinion Target Extraction—0
From Argumentation Mining to Stance Classification—0
ECNU: Extracting Effective Features from Multiple Sequential Sentences for Target-dependent Sentiment Analysis in Reviews—0
Combining Argument Mining Techniques—0
Entity/Event-Level Sentiment Detection and Inference—0
SWASH: A Naive Bayes Classifier for Tweet Sentiment Identification—0
TJUdeM: A Combination Classifier for Aspect Category Detection and Sentiment Polarity Classification—0
SINAI: Syntactic Approach for Aspect-Based Sentiment Analysis—0
DIEGOLab: An Approach for Message-level Sentiment Classification in Twitter—0
Sentiue: Target and Aspect based Sentiment Analysis in SemEval-2015 Task 12—0
Extracting Argument and Domain Words for Identifying Argument Components in Texts—0
A Vector Space Approach for Aspect Based Sentiment Analysis—0
MPQA 3.0: An Entity/Event-Level Sentiment Corpus—0
Sentiment analysis on conversational texts—0
Review Mining for Feature Based Opinion Summarization and Visualization—0
Book Reviews: Web Corpus Construction by Roland Sch\"afer and Felix Bildhauer—0
Representation Learning for Aspect Category Detection in Online Reviews—0
Roman Urdu Opinion Mining System (RUOMiS)—0
Construction of Vietnamese SentiWordNet by using Vietnamese Dictionary—0
Sentiment Lexicon Interpolation and Polarity Estimation of Objective and Out-Of-Vocabulary Words to Improve Sentiment Classification on Microblogging—0
Word-level Language Identification in Bi-lingual Code-switched Texts—0
Determing Trustworthiness in E-Commerce Customer Reviews—0
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