Machine Learning Techniques for Hotel Reviews Classification

Authors

  • B. Aparna, A. Nagaratnam

Abstract

In this advanced age where the internet is developing quickly, the presence of the internet can make it simpler for the traveler to discover any data. In the hotel tourism sector, the use of the internet is very helpful for the promotion of their business. There is a vast number of hotel reviews available on the internet. Based on these reviews, hotel owners take advantage of improving facilities. With the accessibility of a large number of reviews, it is difficult to see everyone's review to identify whether they contain positive or negative reviews. In this paper, we proposed machine learning techniques for hotel review classification. The dataset is taken from Kaggle, which contains 10000 reviews. We applied ML natural language processing techniques and classification algorithms on the dataset and achieved an accuracy of 94%. Python language was used for implementation of all experiments.

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Published

2020-05-17

Issue

Section

Articles