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...
| Main Author: | Jamaludin, Nurul Diana |
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| Format: | Final Year Project |
| Language: | English |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-utpedia.21825 / |
| Published: |
IRC
2020
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| Subjects: | |
| Online Access: |
http://utpedia.utp.edu.my/21825/1/23365_Nurul%20Diana%20Jamaludin.pdf http://utpedia.utp.edu.my/21825/ |
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| Summary: |
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. |
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