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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 41–50 of 630 papers

TitleStatusHype
Persian Emotion Detection using ParsBERT and Imbalanced Data Handling ApproachesCode0
DiaASQ : A Benchmark of Conversational Aspect-based Sentiment Quadruple AnalysisCode1
Improved Target-specific Stance Detection on Social Media Platforms by Delving into Conversation ThreadsCode0
The Curious Case of Logistic Regression for Italian Languages and Dialects IdentificationCode0
Aspect-Based Sentiment Analysis using Local Context Focus Mechanism with DeBERTa—0
Generative Cross-Domain Data Augmentation for Aspect and Opinion Co-ExtractionCode1
GetSmartMSEC at SemEval-2022 Task 6: Sarcasm Detection using Contextual Word Embedding with Gaussian model for Irony Type Identification—0
CS-UM6P at SemEval-2022 Task 6: Transformer-based Models for Intended Sarcasm Detection in English and ArabicCode0
Beyond Opinion Mining: Summarizing Opinions of Customer ReviewsCode1
Don’t Burst Blindly: For a Better Use of Natural Language Processing to Fight Opinion Bubbles in News Recommendations—0
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