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| Hot Topic Extraction from E-commerce Microblog Based on EM-LDA Integrated Model |
| Wu Wankun1, Wu Qinglie1, Gu Jinjiang1,2 |
1 School of Economics and Management, Southeast University, Nanjing 211189, China
2 Department of Information Technology, Jiangsu Institute of Commerce, Nanjing 211168, China |
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Abstract [Objective] Extract hot topics from e-commerce microblog in social marketing.[Methods] This paper proposes an integrated model, EM-LDA (E-commerce Microblog-LDA) to extract hot topics from e-commerce microblog. The integrated model contains two submodels, that is, ET-LDA model and IT-LDA model. The former is to extract hot topics from those e-commerce microblog with Hashtag, and the latter is to extract hot topics from those e-commerce microblog without Hashtag.[Results] The standard LDA model and EM-LDA integrated model are both used to extract hot topics from e-commerce microblog text after the number of topics is determined. Compared with the standard LDA model, EM-LDA model extract hot topics more accurately and effectively, also can improve interpretability.[Limitations] ET-LDA model is not considered about the relationship between microblog contacts, that is, user feature is neglected. IT-LDA model does not concern how to deal with those e-commerce microblog both belong to conversation and retweet.[Conclusions] According to the special features of e-commerce microblog text, EM-LDA integrated model ameliorates the standard LDA model to improve the accuracy of hot topic extraction from e-commerce microblog.
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Received: 27 May 2015
Published: 06 April 2016
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