Sentiment analysis
Process of classifying text based on its emotional tone
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- Artificial Intelligence (2)
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🏷️ Keywords
Sentiment Analysis (2) · Natural Language Processing (1) · Plutchik’s Wheel (1) · Computational Linguistics (1) · Emotion Modeling (1) · arXiv (1) · Data Science (1) · ASQP (1) · NLP (1) · Machine Learning (1) · STAR Framework (1) · ABSA (1) · Data Modeling (1)
📖 Key Information
Sentiment analysis (also known as opinion mining or emotion AI) is the use of natural language processing, text analysis, computational linguistics, and biometrics to systematically identify, extract, quantify, and study affective states and subjective information. Sentiment analysis is widely applied to voice of the customer materials such as reviews and survey responses, online and social media, and healthcare materials for applications that range from marketing to customer service to clinical medicine. With the rise of deep language models, such as RoBERTa, also more difficult data domains can be analyzed, e.g., news texts where authors typically express their opinion/sentiment less explicitly.
📰 Related News (2)
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🇺🇸 Investigating the structure of emotions by analyzing similarity and association of emotion words
arXiv:2602.06430v1 Announce Type: cross Abstract: In the field of natural language processing, some studies have attempted sentiment analysis on text...
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🇺🇸 STAR: Stepwise Task Augmentation with Relation Learning for Aspect Sentiment Quad Prediction
arXiv:2501.16093v2 Announce Type: replace-cross Abstract: Aspect-based sentiment analysis (ABSA) aims to identify four sentiment elements, including ...
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