Development of semi-supervised named entity recognition to discover new tourism places

Tourism information needs are increasing in line with tourism that has been a primary need for some people. This has an impact on the growth of the tourism information provider. The amount of available information sometimes makes tourist confuse to the information that they needed. Currently, the search systems only rely on indexing web pages so that the information obtained by the tourist is still unfavorable because it only shows a web page with keywords that exist on the article. A support system to recognize tourism places on the web pages is required to produce better information presentation. In this study, the recognition system based on Yet Another Two Stage Idea (YATSI) Semi-Supervised Learning with the Naïve Bayes classifier is used to address the problem. Results obtained by classifying candidate entities on a hundred web pages demonstrate 74% precision with 70% recall.

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