Sentiment Analysis of Tourists Opinions of Amusement, Historical and Pilgrimage Places: A Machine Learning Approach
Venu Dave, DhwaniShah, DikshiSuthar, Bhagirath Prajapati, Priyanka Puvar "Sentiment Analysis of Tourists Opinions of Amusement, Historical and Pilgrimage Places: A Machine Learning Approach". International Journal of Computer Trends and Technology (IJCTT) V46(2):51-55, April 2017. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.
In today’s social media trend everyone is using Internet for every aspect of their lives whether it is shopping, interfacing with each other or getting information. The motive of this study is to cover one another, but important aspect that is tourism. As we know tourism plays a major role in any country’s economy so it is very important to throw light on this aspect. Customer experience is consequential in any business, so to improve the customer experience, reviews of different places, hotels and restaurants are taken and after analyzing them an overall review of that place is generated so customer could decide which place to visit and which not to, so this saves both time and money and customer experience is also positive. The fake and redundant reviews need to be eliminated for better accuracy of the results.
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Sentiment Analysis, Opinion Mining, Natural Language Processing, R Language.