Study of Topic Distribution Features of User Generated Comments
of High Quality

Abstract

Abstract: With the development of the social media, it is important to identify the user generated comments of high quality. In this paper, the author used the topic model to identify the high quality users’ comments and to mine the topic feature. The author first put forward the topic model in high quality users’ comments, then calculated the topic model and discussed the topic distribution features. Based on the analysis of the users’ comments on the social platforms, the author established LDA subjects model, and used the users’ comments in Amazon bookstore for testing. Finally, the author drew a conclusion on the topic distribution feature on high quality users’ comments.

Key words: Users’ comments, High quality, TFIDF, Topic model

Ruan Guangce, Xia Lei. Study of Topic Distribution Features of User Generated Comments of High Quality[J]. Libraly Journal, 2018, 37(4): 95-101.

References

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Study of Topic Distribution Features of User Generated Comments of High Quality

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