Sentiment Analysis for Hotel Rating using Machine Learning Algorithms
P. Sanjay Bhargav1, G. Nagarjuna Reddy2, R.V. Ravi Chand3, K. Pujitha4, Anjali Mathur5

1P. Sanjay Bhargav, Department of Computer Science Engineering, Koneru Lakshmaiah Education Foundation,  Vaddeswaram (Andhra Pradesh), India.
2G. Nagarjuna Reddy, Department of Computer Science Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram (Andhra Pradesh), India.
3R. V. Ravi Chand, Department of Computer Science Engineering, Koneru Lakshmaiah Education Foundation ,Vaddeswaram (Andhra Pradesh), India.
4K. Pujitha, Department of Computer Science Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram (Andhra Pradesh), India.
5Dr. Anjali Mathur, Associate Professor, Department of Computer Science Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram (Andhra Pradesh), India.
Manuscript received on 07 April 2019 | Revised Manuscript received on 20 April 2019 | Manuscript published on 30 April 2019 | PP: 1225-1228 | Volume-8 Issue-6, April 2019 | Retrieval Number: F3835048619/19©BEIESP
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: As the technology is growing rapidly everyone is expressing their views in many websites. The rating of any online commercial site is highly dependent on opinion of its users. Not only commercial sites now a days every type of business-like hotels, banks, shops, malls etc are available on internet. They all seek online rating from their consumer. Consumers put their opinion according they got the service. Consumers sentiments are reflected in the form of ‘opinion dataset’ on internet. The proposed research work is for the sentiment analysis for hotel reviews. Consumers of certain hotel put their opinion on website, on the basis of that opinion we can rate the hotel and analyze it with other hotels. The proposed research work is implemented through Machine learning algorithmsusing Naïve Bayes Algorithm and opinion Mining Algorithms on the basis of Natural Language Processing.
Keyword: Machine Learning, Naive Bayes, Natural Language Processing, Recommender Systems, Sentiment Analysis.
Scope of the Article: Machine Learning