Emotional Intelligence of People Towards Political Parties in Andhra Pradesh Based on Twitter Data

Abstract

Social networking facilitated better approach for correspondence innovation for individuals to impart their insights, intrigue, and assumptions. Massive measure of unstructured information is created from online networking like Facebook, twitter, LinkedIn, which is warehouse of helpful bits of knowledge. Analysis can be connected to remove different valuable bits of knowledge frame this. The main aim of this paper is to extricate the information from substantial internet based life information, recognize the general population estimations and conduct to settle on aware choices. Powerful estimation investigation of individuals’ feelings is important for complex points like legislative issues, government, present patterns and medicinal services. These goals are accomplished by constant recovery of twitter information what’s more, perform conclusion investigation. It orders feelings of the general population are certain, negative, cheerful, tragic or neutral towards National and Regional political parties in India like BJP, Congress TDP, YSRCP and Janasena. Thinking about individuals’ feelings, gatherings can distinguish their shortcoming and take care of enhancement to satisfy society needs and work towards fulfilling individuals prerequisites. In this paper, utilizing content mining and unsupervised lexical technique grouped tweets identified with these parties to distinguish public perception towards parties.