Research Article
Tibetan Weibo User Group Division Based on Semantic Information in the Era of Big Data
Algorithm 3
Improved LDA topic model based on Weibo users.
Input:News user text data: User_Document1 | Output:Weibo users’ topic distribution: User_Topics_Matrix | 1: get LDA_Model by Algorithm 2 | 2: for alld, do | 3: predict topics of d by LDA_Model | 4: combine short texts of microblogs belonging to the same topic to long texts Document2. | 5: end for | 6: for alld, do | 7: predict topics of d by LDA_Model | 8: update of LDA_Model | 9: end for | 10: for alluser, do | 11: predict topics of d by LDA_Model | 12: get Document_Topics_Matrix of d | 13: end for | 14: returnUser_Topics_Matrix |
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