A Comparative Study of Automatic Text Labeling Using Von Neumann Kernel and LDA Topic Model
碩士 === 國立臺北大學 === 資訊管理研究所 === 103 === There are tools and techniques that are capable of grouping vast documents into cohesive clusters based on the relatedness or similarity metrics between these documents. The resulted clusters of documents need to be properly labeled to facilitate a fast and holi...
Main Authors: | JHENG, YU-JIE, 鄭宇傑 |
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Other Authors: | CHEN, TSUNG-TENG |
Format: | Others |
Language: | zh-TW |
Published: |
2015
|
Online Access: | http://ndltd.ncl.edu.tw/handle/74450264834068611898 |
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