Application of Sentiment Analysis in Understanding Human Emotions and Behaviour

Authors

  • Sweta Saraff Amity University image/svg+xml
  • Roman Taraban Texas Tech University
  • Rishipal Rishipal Humanities & Applied Sciences, S, Haryana
  • Ramakrishna Biswal National Institute of Technology Rourkela image/svg+xml
  • Shweta Kedas National Institute of Technology Rourkela image/svg+xml
  • Shakuntala Gupta National Institute of Technology Rourkela image/svg+xml

DOI:

https://doi.org/10.4108/eai.6-10-2020.166547

Keywords:

Sentiment Analysis, Human Behavior, Emotions, Natural Language Processing

Abstract

INTRODUCTION: Presently, naturalistic observation is considered as critical in understanding, and predicting the complexities of feelings and sentiments. Emerging trends of social media has completely revolutionized the process of communication. Social media, microblogging, and other means of e-communication can be used for extracting the content to decode the quality, valence, and effectiveness of communication. OBJECTIVES: In this paper, we represent the explanatory urge of mental health assessment during a pandemic situation, especially in a smart city scenario. METHODS: We reviewed the role of sentimental analysis, as an emerging application tool for emotional and behavioural analysis for the population affected by a pandemic. This paper examines the prospect of analysing the sentiments through machine learning tools to understand, describe, and predict human behavior. CONCLUSION: Further analysis of this psychological e-content can be used to understand and predict the patterns of human sentiments.

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Published

06-10-2020

How to Cite

[1]
S. . Saraff, R. . Taraban, R. . Rishipal, R. . Biswal, S. . Kedas, and S. . Gupta, “Application of Sentiment Analysis in Understanding Human Emotions and Behaviour”, EAI Endorsed Trans Smart Cities, vol. 5, no. 13, p. e4, Oct. 2020.