Real Time Location Based Sentiment Analysis on Twitter
Dimitrios Michailidis, Nikolaos Stylianou, Ioannis P. Vlahavas · 2018
The widespread use of Social Media creates great opportunities for businesses to take advantage of. By combining clever techniques, companies can develop powerful data analysis systems to understand their customers. This paper presents a real time sentiment analysis and location inference system, showcased via AirSent, an R-based application designed to assist airline carriers in measuring their passengers' satisfaction. AirSent can download, classify and locate tweets within seconds, presenting the results in interactive maps.