CitizenPulse: A Text Analytics framework for Proactive e-Governance - A Case Study of Mygov.in

Abstract

Indian Citizens are beginning to express themselves via social media on a regular basis on various issues. Government of India have started an initiated called as Mygov.in as a collaborative portal where citizens can voice their opinions via free form comments. Analyzing this free form data is a huge challenge. In this paper we present a work in progress called as CitizenPulse framework, capable of performing text analytics on unstructured text using off-the-shelf text analytics components like Named Entity Recognition, Part of Speech and Stemming to name a few. Apart from integrating the text analytics components, CitizenPulse framework abstracts these building blocks as Object, and such different objects can be dragged, dropped and connected to construct a text analytics pipeline called as Analytics Softcore. As a case study we report the analysis of the Mygov.in portal specifically for the topic of Cleanliness in School Curriculum.