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This chapter introduces the concept and applications of sentiment analysis, a natural language processing task that aims to identify and extract subjective information from text. It covers various topics such as data collection and preparation, machine learning techniques, case studies, model evaluation, and future directions. It also provides examples of how sentiment analysis can be used to gain insights into public sentiment and emotional trends related to COVID-19. The chapter is intended for readers who are interested in learning more about sentiment analysis and its potential impact on various domains.

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Artificial Intelligence Techniques for Sentimental Analysis During Pandemic

  • 章节

  • 发表日期：

    2025年

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  • Ayush Thakur,
  • Reshu Agarwal

摘要

This chapter introduces the concept and applications of sentiment analysis, a natural language processing task that aims to identify and extract subjective information from text. It covers various topics such as data collection and preparation, machine learning techniques, case studies, model evaluation, and future directions. It also provides examples of how sentiment analysis can be used to gain insights into public sentiment and emotional trends related to COVID-19. The chapter is intended for readers who are interested in learning more about sentiment analysis and its potential impact on various domains.