Use Context Information to Improve the Performance of LatentDirichlet Allocation
碩士 === 國立臺灣大學 === 資訊工程學研究所 === 102 === Latent Dirichlet Allocation (LDA), is a wildly used topic model for discovering the topics in documents, however it suffers from many problems like lack of dependency between words and sparse data. The main cause of these problems is the word-sense disambigua...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | en_US |
| Published: |
2014
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| Online Access: | http://ndltd.ncl.edu.tw/handle/24862892672850460435 |