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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 476–500 of 630 papers

TitleStatusHype
Stance Classification of Ideological Debates: Data, Models, Features, and Constraints—0
Stance Detection on Social Media: State of the Art and Trends—0
Stance Detection with Hierarchical Attention Network—0
Structured Aspect Extraction—0
Structured Output Learning with Abstention: Application to Accurate Opinion Prediction—0
Studying Positive Speech on Twitter—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
Study of Domain Dependant Multi-Polarity Words for Document Level Opinion Mining (Influence des marqueurs multi-polaires d\'ependant du domaine pour la fouille d'opinion au niveau du texte) [in French]—0
Subjectivity Classification using Machine Learning Techniques for Mining Feature-Opinion Pairs from Web Opinion Sources—0
Suggestion Mining from Opinionated Text—0
SuperAgent: A Customer Service Chatbot for E-commerce Websites—0
Sur l'application de m\'ethodes textom\'etriques \`a la construction de crit\`eres de classification en analyse des sentiments (About the application of textometric methods for developing classi!cation criteria in Sentiment analysis) [in French]—0
SVNIT @ SemEval 2017 Task-6: Learning a Sense of Humor Using Supervised Approach—0
SWASH: A Naive Bayes Classifier for Tweet Sentiment Identification—0
Syntactically Meaningful and Transferable Recursive Neural Networks for Aspect and Opinion Extraction—0
Syntactic Patterns versus Word Alignment: Extracting Opinion Targets from Online Reviews—0
SZTE-NLP: Aspect level opinion mining exploiting syntactic cues—0
TAJJEB at SemEval-2018 Task 2: Traditional Approaches Just Do the Job with Emoji Prediction—0
TDParse: Multi-target-specific sentiment recognition on Twitter—0
teragram: Rule-based detection of sentiment phrases using SAS Sentiment Analysis—0
Text Categorization as a Graph Classification Problem—0
Text Sentiment Analysis based on Fusion of Structural Information and Serialization Information—0
Graph Neural Network Framework for Sentiment Analysis Using Syntactic Feature—0
The Dangerous Myth of the Star System—0
The Emotions of the Crowd: Learning Image Sentiment from Tweets via Cross-modal Distillation—0
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