Optimization and Visualization of Opinion Mining and Sentiments In Tourism Dashboard: A Case of Statics Centre Abu-Dhabi (SCAD)
- February 20, 2018
- Posted by: RSIS
- Categories: Computer Science and Engineering, Engineering
International Journal of Research and Innovation in Social Science (IJRISS) | Volume I, Issue I, January 2017 | ISSN 2454-6186
Hamed Saif Albusaidi1, Prakash Kumar Udupi2, Vishal Dattana3
1Student, Dept. of PG Studies, Middle East College, Muscat, Oman
2, 3 Department of Computing, Middle East College, Muscat, Oman
Abstract— During the last few years, many techniques have been developed [1] which not only optimizes data, but also restructures data, that stored in traditional databases. These data which is very complex, variated, huge and fast generation can be used for potential decision making for business purposes. To deal with this, data must be optimized first, organized and then extraction of useful data must be done. Several modern techniques are dealing with this data have been emerged. So many new techniques appear in data mining and data analysis as well. These data should be used to support the world economy, and help the decisions makers to make appropriate decisions. This paper focuses on how to use twitter API streaming for analysis. Abu-Dhabi tourism places visitor’s sentiments using twitter hashtag analysis to support the tourism industry, which has become one of the most important sectors to support the global economy [2]. The aim is to increase the income of many countries and help these countries to create many jobs. In addition this sector in many countries has become a focus of attention of investors and businessmen as well as researchers and academician of various universities across the world [3].
Keywords: Opinion Mining, Twitter API, Twitter sentiments analysis, Data analytic, Dash Board, Smart Tourism, Big data, Twitter hashtag.
I. INTRODUCTION
Information and communication technology (ICT) influence results into generation of various kinds of data and with devices, that run across the advent of the Internet. These data multiply alarmingly and increasing more with the emergence of the Internet of Things, as well as social media. [4]
This data has become difficult to deal with, being so large, complex and diverse data to the point where it has become difficult to use. Hence it has become essential to adjust optimize it, and process it to be usable.
