Sentiment Analysis on Tourist Attraction Using Online Customer Review

This paper work focus on Sentiment Analysis based on online reviews of tourist attraction using Python Language. Sentiment Analysis helps to automatically track, identify and understand customer feeling and attitude towards the businesses. Firstly, it will extract the data set which is visitor revie...

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Main Author: Jamaludin, Nurul Diana
Format: Final Year Project
Language: English
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-utpedia.21825 /
Published: IRC 2020
Subjects:
Q Science (General)
Online Access: http://utpedia.utp.edu.my/21825/1/23365_Nurul%20Diana%20Jamaludin.pdf
http://utpedia.utp.edu.my/21825/
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recordtype eprints
spelling utp-utpedia.218252021-09-24T09:55:38Z http://utpedia.utp.edu.my/21825/ Sentiment Analysis on Tourist Attraction Using Online Customer Review Jamaludin, Nurul Diana Q Science (General) This paper work focus on Sentiment Analysis based on online reviews of tourist attraction using Python Language. Sentiment Analysis helps to automatically track, identify and understand customer feeling and attitude towards the businesses. Firstly, it will extract the data set which is visitor review from TripAdvisor website and do sentiment process that are text pre processing, keyword extraction and sentiment classification. With this process it will generate the result either the tourist attraction place is performing well or not. The system will bring advantage towards tourism management as it will help to make a better strategies in decision making. IRC 2020-01 Final Year Project NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/21825/1/23365_Nurul%20Diana%20Jamaludin.pdf Jamaludin, Nurul Diana (2020) Sentiment Analysis on Tourist Attraction Using Online Customer Review. IRC, Universiti Teknologi PETRONAS. (Submitted)
institution Universiti Teknologi Petronas
collection UTPedia
language English
topic Q Science (General)
spellingShingle Q Science (General)
Jamaludin, Nurul Diana
Sentiment Analysis on Tourist Attraction Using Online Customer Review
description This paper work focus on Sentiment Analysis based on online reviews of tourist attraction using Python Language. Sentiment Analysis helps to automatically track, identify and understand customer feeling and attitude towards the businesses. Firstly, it will extract the data set which is visitor review from TripAdvisor website and do sentiment process that are text pre processing, keyword extraction and sentiment classification. With this process it will generate the result either the tourist attraction place is performing well or not. The system will bring advantage towards tourism management as it will help to make a better strategies in decision making.
format Final Year Project
author Jamaludin, Nurul Diana
author_sort Jamaludin, Nurul Diana
title Sentiment Analysis on Tourist Attraction Using Online Customer Review
title_short Sentiment Analysis on Tourist Attraction Using Online Customer Review
title_full Sentiment Analysis on Tourist Attraction Using Online Customer Review
title_fullStr Sentiment Analysis on Tourist Attraction Using Online Customer Review
title_full_unstemmed Sentiment Analysis on Tourist Attraction Using Online Customer Review
title_sort sentiment analysis on tourist attraction using online customer review
publisher IRC
publishDate 2020
url http://utpedia.utp.edu.my/21825/1/23365_Nurul%20Diana%20Jamaludin.pdf
http://utpedia.utp.edu.my/21825/
_version_ 1741195791730475008
score 11.62408

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