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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 341–350 of 630 papers

TitleStatusHype
Improving social relationships in face-to-face human-agent interactions: when the agent wants to know user's likes and dislikes—0
Improving the Explainability of Neural Sentiment Classifiers via Data Augmentation—0
Improving Web 2.0 Opinion Mining Systems Using Text Normalisation Techniques—0
Inference Annotation of a Chinese Corpus for Opinion Mining—0
INF-UFRGS at SemEval-2017 Task 5: A Supervised Identification of Sentiment Score in Tweets and Headlines—0
INF-UFRGS-OPINION-MINING at SemEval-2016 Task 6: Automatic Generation of a Training Corpus for Unsupervised Identification of Stance in Tweets—0
Instance Selection Improves Cross-Lingual Model Training for Fine-Grained Sentiment Analysis—0
Integrating Transformers and Knowledge Graphs for Twitter Stance Detection—0
Investigating Opinion Mining through Language Varieties: a Case Study of Brazilian and European Portuguese tweets—0
Investigating the Effect of Emoji in Opinion Classification of Uzbek Movie Review Comments—0
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