An Enhanced Topic Model Based on Labeled LDA for Chinese Historical Corpora

碩士 === 國立政治大學 === 資訊科學學系 === 105 === This paper proposes an enhanced topic model based on Labeled Latent Dirichlet Allocation (LLDA) for Chinese historical corpora to discover words related to specific topics. To enhance the traditional LDA performance and to increase the readability of its clustere...

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Bibliographic Details
Main Author: 陳奕安
Other Authors: 蔡銘峰
Format: Others
Language:zh-TW
Online Access:http://ndltd.ncl.edu.tw/handle/65yxsp