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Sentiment Analysis on Tourist Attraction Using Online Customer Review

Jamaludin, Nurul Diana (2020) Sentiment Analysis on Tourist Attraction Using Online Customer Review. IRC, Universiti Teknologi PETRONAS. (Submitted)

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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.

Item Type: Final Year Project
Academic Subject : Academic Department - Information Communication Technology
Subject: Q Science > Q Science (General)
Divisions: Sciences and Information Technology > Computer and Information Sciences
Depositing User: Ahmad Suhairi Mohamed Lazim
Date Deposited: 24 Sep 2021 09:55
Last Modified: 24 Sep 2021 09:55
URI: http://utpedia.utp.edu.my/id/eprint/21825

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