Developing an Exploratory Tweet-Browsing System to Analyze Local Reputation Trends in Geographical Regions

Abstract

In this paper, we aim to develop an exploratory tweet-browsing system to analyze local reputation trends in geographical regions. We implemented functions for mapping the local reputation information, for extracting local feature words, and for exploratory browsing of local tweets. We conducted an experiment to evaluate whether users can extract local reputation trends about the snap election in 2014 by using our system. The experimental result indicated that users can extract local reputation trends about political topics in a particular prefecture by using our system. After this experiment, we also conducted a questionnaire survey about the usability of our system.