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WEB COMMENT CLASSIFICATION FOR THAI TOURISM BUSINESS

VeerapatSrisrunrungreung5088143ITCS/B
PantipaThongprasan5088175ITCS/B
SatitPorcharoen5088210ITCS/B

B.Sc.(INFORMATION AND COMMUNICATION TECHNOLOGY)

Project Advisor: Dr.Srisupa Palakvangsa Na Ayudhya

Abstract

Web Comment Classification for Thai Tourism Business is a Web-Based application called “Nebular” which is developed to summarize the comments of Thailand attractions that are gathered from different Travelling Social Network Website: Travel 2.0. Comments are classified into 7 pre-defined aspects including attractions, atmosphere, environment, norm and manner of local people, cleanness, safety and health, shop and value. This project aims to aid tourists to easily find Thailand travelling information by reducing time spent to read and analyze a huge amount of scattered comments on the internet.

To develop Nebular, Python is used as a programming language and Scrapy, an open source software, is deployed to crawl comments from many Travelling Social Network Websites. Besides, Natural Language Toolkit (NLTK) and WordNet are the tools used to perform text summarization and sentiment analysis in this project.

 

KEYWORDS: SENTIMENT ANALYSIS / NATURAL LANGUAGE PROCESSING / NAÏVE / BAYES CLASSIFIER / WORDNET

 

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