Title: Tourism analytics: social media analytics framework for promoting Asian tourist destinations using big data approach
Authors: Sahil Raj; Tanveer Kajla
Addresses: School of Management Studies, Punjabi University, Patiala, 147002, India ' School of Management Studies, Punjabi University, Patiala, 147002, India
Abstract: This study is committed to social media analytics (SMA) which is the one of the most talked about research areas. The research contributes to building up a big data analytics (BDA) framework for carrying out SMA on Twitter data by using R and Hadoop. The main objective of this research is to check the popularity of tourism places on social media, and performing various text analytics methods to gain some insights out of the data. The results of the study show the significance of social web in getting an in-depth understanding of opinions of Twitter handlers. Visualisations in the research should assist in getting a quick analysis of the situation and aids in destination promotion. The research paper also helps in disaster management and building up the strategies to broadcast the tweets to the wider audience by discovering the influential persons on Twitter.
Keywords: tourism; analytics; social media; big data; Hive; word cloud; flume; sentiment analysis; Twitter.
Journal for Global Business Advancement, 2018 Vol.11 No.1, pp.64 - 88
Available online: 03 Jul 2018 *Full-text access for editors Access for subscribers Free access Comment on this article