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Text Mining System Based on Vector Space Model

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dc.contributor.author Aye, Chit Hnin
dc.contributor.author Pearl
dc.date.accessioned 2019-08-06T01:06:15Z
dc.date.available 2019-08-06T01:06:15Z
dc.date.issued 2009-12-30
dc.identifier.uri http://onlineresource.ucsy.edu.mm/handle/123456789/1816
dc.description.abstract Evidently there is a tremendous proliferation in the amount of information found today on the largest shared information source, the World Wide Web. Information Retrieval System tries to save the users access time by classifying the documents and clustering the documents because users spend a lot of time to find documents or information from texts. Most text mining system refers to tasks user information retrieval method to pre-process text documents. Text mining system serves as a powerful technique to manage the text in large document collections. Our proposed system had been developed by applying the pre-processing steps of text mining system and the vector space model (VSM). The system uses term frequency-inverse document frequency formula to calculate the weight of terms and query. Cosine measure of similarity formula sorts the documents according to the degree of similarity values. This paper intends to an effective text mining process by using Vector Space Model. By using this system, user can use as a song search engine and can listen this song and free download and upload. en_US
dc.language.iso en en_US
dc.publisher Fourth Local Conference on Parallel and Soft Computing en_US
dc.subject Vector Space Model en_US
dc.subject Text Mining en_US
dc.title Text Mining System Based on Vector Space Model en_US
dc.type Article en_US

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