ItemBook Chapter

Sentiment and emotion analysis using machine learning techniques

Title
Sentiment and emotion analysis using machine learning techniques
Creator
Reddy, Bhavanam Amarnath; Nayak, Ullal Akshatha; Srinivasan, S.; Angela Jean Mary, E.; Chauhan, Amit; Rajagopal, R.
Description
Sentiment analysis and text emotion identification have grown in prominence due to their wide range of applications in fields such as psychology, artificial intelligence, human-computer interaction, and so on. There are numerous Machine Learning approaches available for emotion recognition and sentiment analysis. The chapter also delves into the key procedures of data collecting, preprocessing, and emphasising the necessity of good data in training effective models. Real-world applications from a variety of disciplines, including business, healthcare, and entertainment, are investigated to demonstrate the practical utility of these strategies. The chapter also covers the issues of ambiguity, context-awareness, and cross-linguistic disparities, as well as providing suggestions for future study paths. This chapter provides a detailed exploration of machine learning approaches to sentiment and emotion analysis, making it a valuable resource for researchers, practitioners, and students interested in using machine learning to understand and interpret emotional content in textual data. 2025, IGI Global Scientific Publishing. All rights reserved.
Source
Exploring Psychology, Social Innovation and Advanced Applications of Machine Learning;pp.173-190
Date
01-01-2025
Publisher
IGI Global
Coverage
Reddy B.A., Vignana Jyothi Institute of Management, India; Nayak U.A., Nitte Meenakshi Institute of Technology, India; Srinivasan S., AMET University, India; Angela Jean Mary E., St. Claret College, India; Chauhan A., Christ University, India; Rajagopal R., Alliance University, India
Rights
Restricted Access; Hardcopy may be available in the library
Relation
ISBN: 979-836936912-8; 979-836936910-4;
Format
online
Language
English
Type
Book chapter

Citation

Reddy, Bhavanam Amarnath; Nayak, Ullal Akshatha; Srinivasan, S.; Angela Jean Mary, E.; Chauhan, Amit; Rajagopal, R., “Sentiment and emotion analysis using machine learning techniques,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 19, 2026, https://archives.christuniversity.in/items/show/24983.

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