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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 26–50 of 630 papers

TitleStatusHype
MEMD-ABSA: A Multi-Element Multi-Domain Dataset for Aspect-Based Sentiment AnalysisCode1
What Sentiment and Fun Facts We Learnt Before FIFA World Cup Qatar 2022 Using Twitter and AI—0
Constructing Colloquial Dataset for Persian Sentiment Analysis of Social MicroblogsCode0
Knowledge-enhanced Prompt-tuning for Stance Detection—0
Painsight: An Extendable Opinion Mining Framework for Detecting Pain Points Based on Online Customer Reviews—0
Analysis of Climate Campaigns on Social Media using Bayesian Model AveragingCode0
SI-LSTM: Speaker Hybrid Long-short Term Memory and Cross Modal Attention for Emotion Recognition in Conversation—0
The Emotions of the Crowd: Learning Image Sentiment from Tweets via Cross-modal Distillation—0
Deep Learning for Opinion Mining and Topic Classification of Course Reviews—0
Self-training through Classifier Disagreement for Cross-Domain Opinion Target Extraction—0
Sentiment analysis and opinion mining on educational data: A survey—0
Machine Learning Algorithms for Depression Detection and Their Comparison—0
Cursive Caption Text Detection in Videos—0
A Framework of Customer Review Analysis Using the Aspect-Based Opinion Mining Approach—0
Sentiment analysis and opinion mining on E-commerce site—0
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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