主題模型集群與鏈結導出集群之一致性檢定

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主題模型集群與鏈結導出集群之一致性檢定

The Congruity between Document Clusters Derived From LDA Topic Modeling and Traditional Link-Based Expectation Maximization Method

林盈萱 , Masters　　Advisor：陳宗天　　

繁體中文

隱含狄利克雷；期望值最大化；一致性檢定； Latent Dirichlet Allocation ； Expectation Maximization ； Congruity

Abstract │ Reference (17) │ Altmetrics

Abstract 〈TOP〉

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Latent Dirichlet Allocation (LDA) is widely used to elicit the latent topics from documents. A latent topic derived by LDA comes with relevant associated keywords and topics probability distribution. A document could be characterized by several of its associated latent topics. Specifically, we could use an array of probability of latent topics as the feature vector of a document. We empirically explore the feasibility and applicability of characterizing a document by its LDA latent topics probabilities in this study. 
Two document corpora retrieved from Microsoft Academic Search are used in the experiment. Each corpus is partitioned into ten clusters by applying the Expectation Maximization (EM) on the co-citation matrix as well as on the arrays of the probability of latent topics. The congruity of clusters derived from these two methods is evaluated through their Rand index, Kappa, and Gwet’s value. The modest congruity between clusters generated by these two methods indicates that the LDA latent topic probability vector is a viable alternative feature to characterize a document. As such, we can utilize LDA to elicit latent topics from a document corpus as well as use the associated topics probability vector to characterize documents and petition them into clusters of similar topics.

Reference ( 17 ) 〈TOP〉

黃馨儀(2016)。智識建構方法論之改進研究。論文發表於國立臺北大學資訊管理學系。
連結：
鄭宇傑(2016)。以核運算方法與LDA主題模型產生文字標籤之比較研究。論文發表於國立臺北大學資訊管理學系。
連結：
Boyack, K. W., & Klavans, R. (2010). Co‐citation analysis, bibliographic coupling, and direct citation: Which citation approach represents the research front most accurately? Journal of the American Society for Information Science and Technology, 61(12), 2389-2404.
連結：
Gwet, K. (2002). Kappa statistic is not satisfactory for assessing the extent of agreement between raters. Statistical methods for inter-rater reliability assessment, 1(6), 1-6.
連結：
Hubert, L., & Arabie, P. (1985). Comparing partitions. Journal of classification, 2(1), 193-218.
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