BTM and GloVe Similarity Linear Fusion-Based Short Text Clustering Algorithm for Microblog Hot Topic Discovery

BTM and GloVe Similarity Linear Fusion-Based Short Text Clustering Algorithm for Microblog Hot Topic Discovery

Microblog hot topic discovery is one of the research hotspots in the field of text mining. The distance function of traditional K-means leads to low clustering accuracy, which leads to poor hot topic discovery. Three definitions are proposed in this paper: title words and body words, positional cont...

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Bibliographic Details
Main Authors: Di Wu, Mengtian Zhang, Chao Shen, Zhuyun Huang, Mingxing Gu
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
BTM
GloVe
microblog hot topic discovery
similarity linear fusion
WMD
Online Access:https://ieeexplore.ieee.org/document/8995502/

Internet

https://ieeexplore.ieee.org/document/8995502/

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