An Effective Technique for Collecting Multi-languages Hotel Reviews: A Case Study of 5 Stars Hotels in Bali Island

In recent years, online platforms have become more popular due to the spread of the Internet and its applications. The Internet provides a variety of human-created facts and data sources. But it consists of a vast array of disjointed structured and unstructured data that are difficult to collect by physical means and problematic to use in mechanical processes. Recently, modules and applications have been developed with various systems to collect data and transform it into organized information. However, those systems have complex menus and difficult for individual users to operate. Collecting multilingual hotels reviews data requires storing each language in a separate database to facilitate data analysis processes base on each natural language analytical method. Therefore, we consider that we need a simple tool with single button click system to collect multilingual reviews and store it in separate data base. In this research project We are developing a tool to collect hotels or attractions reviews data called MULARS (Multi-Languages Reviews Scrapers) for collecting large-scale of multi-language reviews. This paper is started by describing the web scraping process using different kinds of web scraping techniques. Then, the proposed system will be explained, and the results of data collection performances are presented. Finally, the paper discusses the advantages and future possibilities of the system applications on the different areas to exploit these data, such as development of business intelligence data, and development of new applications for data analysis.