Sentiments and Opinions From Twitter About Peruvian Touristic Places Using Correspondence Analysis

Abstract

Tourism in Perú has become very important, since there is a growing number of tourists arriving each year. This paper focus in understand what do English-speaking tourists consider when they visit Perú. We obtained all the tweets written in english during the year 2016, filtered by a list of touristic places visited. In total, more than 192 thousand tweets were collected. We performed different analysis to describe the data, including correspondence analysis, a statistical technique which is normally applied to categorical data. The goal was to understand the sentiments and opinions expressed in those tweets.