Title: Three years - three moves - government verdicts to renovate customary 'Bharat' to contemporary 'India': evaluation of opinions from citizens

Authors: Riktesh Srivastava

Addresses: Skyline University College, Sharjah, UAE

Abstract: Data is an important asset for the government and enormous data are collected every day. Assortment of data is one trait, deriving meaningful insights from these data is important too. Emergence of 'data analytics' creates link between effective governance and improved service delivery. Two types of data collected by the government are structured and unstructured. Structured data are collected through operational work and are used for decision making since long. Unstructured data now forms an integral form of decision making, are the ones collected from social media, websites and other online media. Government of India (GOI) identified the need of integrating unstructured data (especially social media). The study collects opinions concerning three historic moves - digital India, demonetisation, and GST, through eight online media including six Hindi news channels and news two English newspapers. The texts are evaluated based on 'profile of mood states' (POMS) tagging and identifies opinions.

Keywords: digital India; demonetisation; GST; profile of mode states; opinion analysis; Bayes algorithm; India.

DOI: 10.1504/IJBDA.2019.098826

International Journal of Business and Data Analytics, 2019 Vol.1 No.1, pp.54 - 68

Received: 08 Jan 2018
Accepted: 12 May 2018
Published online: 03 Apr 2019 *