Application of Sentiment Analysis in Understanding Human Emotions and Behaviour

EAI Endorsed Transactions on Smart Cities

Ramakrishna Biswal¹  Sweta Saraff²  Shakuntala Gupta³  Shweta Kedas⁴  Roman Taraban⁵  Rishipal Rishipal⁶ 

[1] Applied Sciences, S, Haryana, India;Amity Institute of Psychology and Allied Sciences, Amity University, Kolkata, India;Department of Computer Science, National Institute of Technology, Rourkela, India;Department of Humanities and Social Sciences, National Institute of Technology, Rourkela, India;Department of Psychological Sciences, Texas Tech University, USA;;Humanities &

关键词: sentiment analysis;    human behavior;    emotions;    natural language processing;   

DOI  :  10.4108/eai.6-10-2020.166547

来源: DOAJ

【 摘 要 】

INTRODUCTION: Presently,naturalisticobservationisconsideredascriticalinunderstanding,andpredictingthecomplexitiesoffeelingsandsentiments.Emergingtrendsofsocialmediahascompletelyrevolutionizedtheprocessofcommunication. 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:Furtheranalysisofthispsychologicale-contentcanbeusedtounderstandandpredictthepatternsofhuman sentiments.

【 授权许可】

Unknown