A bigdata analytics method for social media behavioral analysis

Abstract

Twitter on web-based entertainment has become an important part of everyday life. This medium provides a list of current events in real time, most of which is difficult to understand, so it must be sorted to find useful information. Human biology, pharmacology, and experimental factors influence their behavior. Twitter tweets are a text store that can reflect human emotions and sentiments. Behavior Analytics (BA) is analyzing the behavior of individuals. BA can be used to filter useful information from tweets in healthcare and business applications. This paper presents the analysis of human behavior using Twitter data and a proposed Social Media Behavior Analysis Big Data Analytics (BASMBA) algorithm. The proposed algorithm uses several techniques in its preprocessing, feature selection, and classification of tweets using BIGDATA. Additionally, the accuracy of the algorithm is verified using the precision factor and recovery time.