Exploring Sentiment and Emotion Analysis: A Systematic Review and Future Directions

International Journal of Electrical and Electronics Engineering

© 2024 by SSRG - IJEEE Journal

Volume 11 Issue 12

Year of Publication : 2024

Authors : Nisha, Rakesh Kumar

10.14445/23488379/IJEEE-V11I12P107

How to Cite?

Nisha, Rakesh Kumar, "Exploring Sentiment and Emotion Analysis: A Systematic Review and Future Directions," SSRG International Journal of Electrical and Electronics Engineering, vol. 11,  no. 12, pp. 76-93, 2024. Crossref, https://doi.org/10.14445/23488379/IJEEE-V11I12P107

Abstract:

Human communication often carries emotional undertones expressed verbally, through written texts, and non-vocally via gestures and facial expressions. With the widespread adoption of texting and the rapid growth of social media, digital communication has become more prevalent. The Internet is crucial in the modern era of technology, providing a vast repository of information that necessitates thorough examination to extract relevant insights. Sentiment analysis, which involves computationally analyzing sentiments, viewpoints, and the subjective aspects of text, is crucial for uncovering hidden information and accurately classifying emotions. However, obtaining suitable datasets and applying precise classifiers pose significant challenges. The function of artificial intelligence technology in automated text sentiment analysis is the primary subject of this article, which also examines other uses, difficulties, and approaches to sentiment analysis. Drawing attention to obstacles, constraints, and potential avenues for further study adds to what is already known and helps academics and professionals choose the best approaches.

Keywords:

Emotion detection, Machine Learning, Natural Language Processing, Sentiment classification, Text analysis.

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