A topic detection method based on KM-LSH Fusion algorithm and improved BTM model

Topic detection is an information processing technology designed to help people deal with the growing problem of data information on the Internet. In the research literature, topic detection methods are used for topic classification through word embedding, supervised-based and unsupervised-based app...

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Veröffentlicht in:	Soft computing (Berlin, Germany) Germany), 2024-10, Vol.28 (19), p.11421-11438
Hauptverfasser:	Liu, Wenjun, Guo, Huan, Gan, Jiaxin, Wang, Hai, Wang, Hailan, Zhang, Chao, Peng, Qingcheng, Sun, Yuyan, Yu, Bao, Hou, Mengshu, Li, Bo, Li, Xiaolei
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Algorithms Application of Soft Computing Artificial Intelligence Cluster analysis Clustering Cohesion Computational Intelligence Control Data collection Data processing Emotions Engineering Experiments Location based services Mathematical Logic and Foundations Mechatronics Methods Microblogs Privacy Public opinion Robotics Social networks Texts Vector quantization
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