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Sentiment Analysis and Opinion Mining

Sentiment Analysis and Opinion Mining is a research topic within Artificial Intelligence. Science Explorer counts 26k research works in it since 1970. 9.8% of them reached the world's top 10% most cited for their field and year.

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.

  • Sentiment Analysis
  • Opinion Mining
  • Social Media
  • Text Mining
  • Emotion Recognition
  • Deep Learning
  • Aspect-based Sentiment Analysis
  • Lexicon-Based Methods
  • Twitter Sentiment
  • Machine Learning
Research works
26k
fractional, since 1970
In the world top 10%
2.5k
per year above
Top-10% rate
9.8%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
+75%
the tick is no change
Largest producer
China
33% of the 10 largest, 2022-now
Sentiment Analysis and Opinion Mining

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