Sentiment Analysis of Tourists Opinions of Amusement, Historical and Pilgrimage Places: A Machine Learning Approach
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International Journal of Computer Trends and Technology (IJCTT) | 
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| © 2017 by IJCTT Journal | ||
| Volume-46 Number-2 |
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| Year of Publication : 2017 | ||
| Authors : Venu Dave, DhwaniShah, DikshiSuthar, Bhagirath Prajapati, Priyanka Puvar | ||
| DOI : 10.14445/22312803/IJCTT-V46P111 |
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.
Abstract -
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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Keywords
Sentiment Analysis, Opinion Mining,
Natural Language Processing, R Language.