Opinion Mining and Sentiment Analysis
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Summary
The recent proliferation of social media has enabled users to post views about entities, individuals, events, and topics in a variety of formal and informal settings, including reviews, forums, social media posts, blogs, and discussion boards.
- Published
- 2018-01-01
- Cited by
- 3,907
- References
- 81
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:43902914
References
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- Recognizing Contextual Polarity in Phrase-Level Sentiment Analysis
- Major topic detection and its application to opinion summarization
- What emotions do news articles trigger in their readers?
- Opinion spam and analysis
- RECOGNIZING STRONG AND WEAK OPINION CLAUSES
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- Rule-based Emotion Detection on Social Media: Putting Tweets on Plutchik's Wheel
- Using Online Data Sources to Make Recommendations on Reading Materials for K-12 and Advanced Readers
- A Combined Approach for Extracting Financial Instrument-Specific Investor Sentiment from Weblogs
- Fouille de documents et d'opinions multilingue
- Evaluating Emotions in Mobile Application Descriptions: Sentiment Analysis Approach
- A Novel Framework Based on Word-of-Mouth Mining for non-Prosumer Decision Support
- Combining resources to improve unsupervised sentiment analysis at aspect-level
- Sentiment Index of the Russian Speaking Facebook
- Enhanced News-reading: Interactive and Visual Integration of Social Media Information
- Scalable Text Mining with Sparse Generative Models
- Continuous dimensional emotion tracking in music
- Issue and challenges of online user generated reviews across social media and e-commerce website
- Lexicon-Based Sentiment Analysis Using SAP HANA
- Arabic sentiment polarity identification using a hybrid approach
- Statistical Machine Learning for Text Mining with Markov Chain Monte Carlo Inference
- Ontological analysis for dynamic data model exploration
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