Twitter user’s Behavior and Events Affecting Their Mood
Srishty Jindal1, Amit Kumar Tyagi2, Kamlesh Sharma3

1Srishty Jindal, Research Scholar, school of computing, Lingaya’s Vidyapeeth, Assistant Professor, Department of Computer Science and Engineering, MRIIRS, Faridabad, India.
2Amit Kumar Tyagi, School of Computing Science and Engineering, Vellore Institute of Technology, Chennai, Department of Computer Science and Engineering, Lingaya’s Vidyapeeth, Faridabad, Haryana, India.
3Kamlesh Sharma, Department of Computer Science & Engineering, Manav Rachna International Institute of Research and Studies, Faridabad, India.
Manuscript received on January 26, 2020. | Revised Manuscript received on February 05, 2020. | Manuscript published on February 30, 2020. | PP: 3222-3226 | Volume-9 Issue-3, February 2020. | Retrieval Number:  C6121029320/2020©BEIESP | DOI: 10.35940/ijeat.C6121.029320
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Abstract: Sentiment Analysis is an art to analyze and understand the human behavior. The analysis could be done for any purpose such as e-commerce, business analysis/revenues, detecting latest trends and analyzing reviews. The major work done was related to finding sentiment polarity of the text such as negative, positive or neutral. There are always some emotions hidden behind the text apart from positive/negative. So, nowadays, researchers are focusing on detecting mental behavior of people through social media. This mental behavior could be analyzed through the images, videos, text or posts shared by social media user. Behavior Analysis plays an important role through which society can be benefitted. Behavioral analysis helps in finding the behavior/reaction of people about any event happening throughout the world with the help of social media. In this research, such events were collected through an online survey of people from different professions, their data was analyzed to understand the areas where our society is lacking. Along with the events, the behavior of the person is also analyzed by understanding the basic routine of the user (routine of using social media). The Major events were found by creating word cloud, such as disturbing the social media users were violence against women, politics, terrorist attack, elections and abusive text written by someone.
Keywords: Online social Media, Sentiment Analysis, Twitter API, Tweets.