Twitter Mining for Sentiment Analysis in Tourism Industry

Tourism industry is probably most affected by the introduction of social media and micro-blogging websites. Millions of users share their perceptions, liking, choices and sentiments on social media. Therefore, Social media are the most preferred platforms for emotions and sentiment analysis. In this paper, we look at one such popular microblog called Twitter which is a great way to figure out how people feel about the popular travel websites using Twitter data. To do this, we Stream tweets from the Twitter API, Filter out the tweets that are relevant using search query, Perform sentiment analysis on Twitter data to figure out how they perceive each travel site and Store the tweets for additional analysis. This study is still in the initial stages in terms of tourism industry.