A Large number of digital text information is generated every day. Effectively searching, managing and exploring the text data has become a main task. In this paper, we first present an introduction to text mining and LDA topic model. Then we deeply explained how to apply LDA topic model to text corpus by doing experiments on Simple Wikipedia documents. The experiments include all necessary steps of data retrieving, pre-processing, fitting the model and an application of document exploring system. The result of the experiments shows LDA topic model working effectively on documents clustering and finding the similar documents. Furthermore, the document exploring system could be a useful research tool for students and researchers.
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