Abstract
In recent years, as a social media, WeChat develops rapidly and popularly. At the same time, with the increase in the number of WeChat users, the number of WeChat Official Accounts is also rising. Faced with a large number of emerging WeChat Official Accounts, how to grasp the user's preferences for the development of the Official Accounts is essential. In this paper, we will use the improved structure of RNN --- --- LSTM to make a short text effective analysis of user comments based on various articles in the Official Accounts, analysis the user's emotional tendencies, so that WeChat Official Accounts can recommend users to different articles and functionality according to the emotional trend of different users.
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