Research Article
Application of Sentiment Analysis in Understanding Human Emotions and Behaviour
@ARTICLE{10.4108/eai.6-10-2020.166547, author={Sweta Saraff and Roman Taraban and Rishipal Rishipal and Ramakrishna Biswal and Shweta Kedas and Shakuntala Gupta}, title={Application of Sentiment Analysis in Understanding Human Emotions and Behaviour}, journal={EAI Endorsed Transactions on Smart Cities}, volume={5}, number={13}, publisher={EAI}, journal_a={SC}, year={2020}, month={10}, keywords={Sentiment Analysis, Human Behavior, Emotions, Natural Language Processing}, doi={10.4108/eai.6-10-2020.166547} }- Sweta Saraff
Roman Taraban
Rishipal Rishipal
Ramakrishna Biswal
Shweta Kedas
Shakuntala Gupta
Year: 2020
Application of Sentiment Analysis in Understanding Human Emotions and Behaviour
SC
EAI
DOI: 10.4108/eai.6-10-2020.166547
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.
Copyright © 2020 Saraff, S.et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.
