Oriya Language Text Mining Using C5.0 Algorithm
نویسندگان
چکیده
Text Mining is essential for knowledge discovery from valuable texts available in many forms. These texts carry relevant information pertaining to the need of the user. In this paper we describe a tourist decision support system that mines data regarding tourist places in Orissa from Oriya text files, translates and preprocesses data and classifies the tourist places into three classes using C 5.0 algorithm. The result obtained is then used to help international tourists in selecting places of interest according to their choice. Oriya Language is the official language of Orissa, a state in the eastern part of India. More than 31 million people speak and write this language. It has a rich heritage and culture and knowledge is stored in many forms through Oriya language text. We also present a sketch of our ongoing and future work on the same tourism datasets using field force automation and opinion mining techniques. Keywords— Text Mining, Decision Support System, Classification, C 5.0, machine translation.Introduction
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