Open AccessEffective Methodology for Co-Referential Aspect Based Sentiment Analysis of Tourist Reviews
Author(s) -
Kamlesh A. Waghmare,
Sheetal K. Bhala
Publication year - 2020
Publication title -
international journal of scientific research in computer science, engineering and information technology
Language(s) - English
Resource type - Journals
ISSN - 2456-3307
DOI - 10.32628/cseit2062149
Subject(s) - tourism , sentiment analysis , computer science , computation , artificial neural network , data science , noise (video) , artificial intelligence , machine learning , data mining , image (mathematics) , algorithm , geography , archaeology
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.