Effective Methodology for Co-Referential Aspect Based Sentiment Analysis of Tourist Reviews

Authors

  • Dr. Kamlesh A. Waghmare  Professor, Department of Computer Science and Engineering, Government College of Engineering, Amravati, Maharashtra, India
  • Sheetal K. Bhala  Department of Computer Science and Engineering, Government College of Engineering, Amravati, Maharashtra, India

DOI:

https://doi.org//10.32628/CSEIT2062149

Keywords:

Sentiment Analysis, Machine Learning, Neural Network.

Abstract

Tourist reviews are the source of data that is going to be used for the travelers around the world to find the hotels for their stay according to their comfort. In this the hotels are ranked over the parameters or aspects considered keeping travelers in mind. This computation of data sets is done with the help of the machine learning algorithms and the neural network. The knowledge processing done over the reviews generates the sentiment score for each hotel with respect to the aspects defined. Here, the explicit , implicit and co-referential aspects are identified by suppressing the noise. This paper proposes the method that can be best used for the detection of the sentiments with the high accuracy.

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2020-04-30

Issue

Volume 6, Issue 2, March-April-2020

Section

Research Articles

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How to Cite

[1]
Dr. Kamlesh A. Waghmare, Sheetal K. Bhala, " Effective Methodology for Co-Referential Aspect Based Sentiment Analysis of Tourist Reviews, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 6, Issue 2, pp.523-529, March-April-2020. Available at doi : https://doi.org/10.32628/CSEIT2062149