Sentiment Analysis and Opinion Mining
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Scope of this subject
This cluster of papers focuses on sentiment analysis and opinion mining, particularly in the context of social media and text mining. It covers various techniques such as lexicon-based methods, deep learning, aspect-based sentiment analysis, and machine learning for analyzing emotions and opinions in textual data from platforms like Twitter. The research also delves into emotion recognition and the impact of sentiment analysis on public perception.
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Research vocabulary
sentiment analysis; sentiment classification; online reviews; aspect-based sentiment analysis; tweets; social media text; sentiment lexicon; TF-IDF; polarity classification; Naive Bayes classifier; text preprocessing; customer reviews; online customer reviews; sentiment polarity; sarcasm detection; multimodal sentiment analysis; emotion classification; aspect extraction; movie reviews; lexicon-based sentiment analysis; public sentiment; YouTube comments; Google Play Store; Amazon reviews; emotion analysis
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No owner-reviewed answer has been published for this exact subject page. This is a gap in this collection; it does not establish that the answer is unavailable elsewhere.
Numeric address and provenance
Morton address: 36174245025449043 · morton4x16-v1
Coordinates: (3, 17, 1702, 10664). The address interleaves categorical identifier bits. Nearby addresses are not guaranteed to describe semantically similar subjects.
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