Nonparametric Document Clustering with Topic Modeling
碩士 === 國立臺灣大學 === 資訊工程學研究所 === 104 === We describe a nonparametric document clustering model leveraging the topic modeling technique. In our model, the number of clusters is assumed to be inferred from data. Our model jointly optimizing two tasks: representing each document using its topic distribut...
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ndltd-TW-104NTU053921162017-06-03T04:42:00Z http://ndltd.ncl.edu.tw/handle/52330968157918339511 Nonparametric Document Clustering with Topic Modeling 應用主題模型的非參數文本分群 Yi Huang 黃伊 碩士 國立臺灣大學 資訊工程學研究所 104 We describe a nonparametric document clustering model leveraging the topic modeling technique. In our model, the number of clusters is assumed to be inferred from data. Our model jointly optimizing two tasks: representing each document using its topic distribution, and nonparametric clustering on this transformed topic space. The clustering is built based on Dirichlet process mixture model (DPM) and the topic modeling shares similar structure with hierarchical Dirichlet process (HDP). We employ a variational inference solution to approximate the intractable posterior distribution and adopt the EM algorithm for parameter learning. Experiments on a variety of datasets are conducted to justify the effectiveness of the model. 林守德 2016 學位論文 ; thesis 35 en_US |
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碩士 === 國立臺灣大學 === 資訊工程學研究所 === 104 === We describe a nonparametric document clustering model leveraging the topic modeling technique. In our model, the number of clusters is assumed to be inferred from data. Our model jointly optimizing two tasks: representing each document using its topic distribution, and nonparametric clustering on this transformed topic space. The clustering is built based on Dirichlet process mixture model (DPM) and the topic modeling shares similar structure with hierarchical Dirichlet process (HDP). We employ a variational inference solution to approximate the intractable posterior distribution and adopt the EM algorithm for parameter learning. Experiments on a variety of datasets are conducted to justify the effectiveness of the model.
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林守德 |
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林守德 Yi Huang 黃伊 |
author |
Yi Huang 黃伊 |
spellingShingle |
Yi Huang 黃伊 Nonparametric Document Clustering with Topic Modeling |
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Yi Huang |
title |
Nonparametric Document Clustering with Topic Modeling |
title_short |
Nonparametric Document Clustering with Topic Modeling |
title_full |
Nonparametric Document Clustering with Topic Modeling |
title_fullStr |
Nonparametric Document Clustering with Topic Modeling |
title_full_unstemmed |
Nonparametric Document Clustering with Topic Modeling |
title_sort |
nonparametric document clustering with topic modeling |
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2016 |
url |
http://ndltd.ncl.edu.tw/handle/52330968157918339511 |
work_keys_str_mv |
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1718455689660071936 |