Clustering Search Results using Semantically Related Terms

碩士 === 元智大學 === 資訊管理學系 === 101 === This study proposed a Latent Semantic Analysis based method to find semantically related terms from Google search results for a given query and to group the terms into clusters. Each item of the search results is then grouped into one individual cluster based on th...

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Bibliographic Details
Main Authors: Dean Ting-Li Huang, 黃挺立
Other Authors: Cheng-Jye Luh
Format: Others
Language:zh-TW
Online Access:http://ndltd.ncl.edu.tw/handle/53995745703419392542