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Text Mining System Based on Vector Space Model

http://hdl.handle.net/20.500.12678/0000004114
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None
Name / File License Actions
55236.pdf 55236.pdf (350 Kb)
Publication type
Article
Upload type
Publication
Title
Title Text Mining System Based on Vector Space Model
Language en
Publication date 2009-12-30
Authors
Aye, Chit Hnin
Pearl
Description
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.
Keywords
Vector Space Model, Text Mining
Identifier http://onlineresource.ucsy.edu.mm/handle/123456789/1816
Journal articles
Fourth Local Conference on Parallel and Soft Computing
Conference papers
Books/reports/chapters
Thesis/dissertations
311
202
views
downloads
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AU2
CA3
CN32
DE19
FR1
GB1
IE2
IR1
LV1
MM1
NZ2
RU8
US238

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