UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 10 Issue 2
February-2023
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2302399


Registration ID:
508997

Page Number

d802-d810

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Title

TEXT MINING AND SENTIMENT ANALYSIS OF TRIP ADVISOR REVIEWS

Abstract

In the world of growing technology, each travel website produces a voluminous amount of data. These data are large in volume, velocity, variety, and veracity. It is humanly impossible to read and analyze each review manually. Therefore, the need for semantic analysis of trip advisor reviews. Trip Advisor is a web 2.0 application that allows the customer to share their experience with hotels, restaurants, and other tourist spots. Trip advisor is among the top traveling websites. Every day, millions of users visit the website while planning their trip. It is based on these reviews and ratings; trip advisor suggests a place for new users, but the number of reviews is in the thousands, and it requires sentiment analysis of all the existing reviews to move toward a conclusion. The opinion and view expressed by a reviewer in their review intuitively represent their evaluation of a destination. Their words represent a strong emotion which is important for both, future tourists and service providers. The classic sentiment analysis, which is predominantly centered on statistical data, has certain drawbacks since it is comparatively difficult to evaluate the overall feelings of a text, and is less effective in tasks involving Natural Language Processing (NLP). As a result, we employ aspect-based sentiment analysis (SA) based on the Transformers' Bidirectional Encoder Representation (BERT) model.

Key Words

Artificial Intelligence, Big Data, BERT, Cloud, NLP, Text Mining, Sentiment Analysis

Cite This Article

"TEXT MINING AND SENTIMENT ANALYSIS OF TRIP ADVISOR REVIEWS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 2, page no.d802-d810, February-2023, Available :http://www.jetir.org/papers/JETIR2302399.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"TEXT MINING AND SENTIMENT ANALYSIS OF TRIP ADVISOR REVIEWS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 2, page no. ppd802-d810, February-2023, Available at : http://www.jetir.org/papers/JETIR2302399.pdf

Publication Details

Published Paper ID: JETIR2302399
Registration ID: 508997
Published In: Volume 10 | Issue 2 | Year February-2023
DOI (Digital Object Identifier):
Page No: d802-d810
Country: Bangalore, Karnataka, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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