Statistical clustering of documents via stochastic blockmodels

Paul H. Atandoh and Kevin H. Lee

Journal of Applied Statistics, 2024, vol. 51, issue 10, 1878-1893

Abstract: As the online market grows rapidly, people are relying more on product review when they purchase the product. Hence, many companies and researchers are interested in analyzing product review which essentially a text data. In the current literature, it is common to use only text analysis tools to analyze text dataset. But in our work, we propose a method that utilizes both text analysis method such as topic modeling and statistical network model to build network among individuals and find interesting communities. We introduce a promising framework that incorporates topic modeling technique to define the edges among the individuals and form a network and uses stochastic blockmodels (SBM) to find the communities. The power of our proposed method is demonstrated in real-world application to Amazon product review dataset.

Date: 2024
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DOI: 10.1080/02664763.2023.2247617

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