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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| Format: | Others |
| Language: | zh-TW |
| Online Access: | http://ndltd.ncl.edu.tw/handle/65yxsp |