Semantic-based topic detection using Markov decision processes
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DOI: 10.1016/j.neucom.2017.02.020
Abstract: In the field of text mining, topic modeling and detection are fundamental problems in public opinion monitoring, information retrieval, social media analysis, and other activities. Document clustering has been used for topic detection at the… read more here.
Keywords: detection; using markov; markov decision; decision processes ... See more keywords
Topic Detection and Tracking Based on Windowed DBSCAN and Parallel KNN
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DOI: 10.1109/access.2020.3047458
Abstract: Topic Detection and Tracking technique (TDT) has been commonly used to identify the hot topics from the huge volume of Internet news information and keep up with the hot news. However, traditional topic detection and… read more here.
Keywords: detection tracking; topic; news; parallel knn ... See more keywords
A Topic Detection Method Based on Word-attention Networks
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Data and Information Science"
DOI: 10.2478/jdis-2021-0032
Abstract: Abstract Purpose We proposed a method to represent scientific papers by a complex network, which combines the approaches of neural and complex networks. Design/methodology/approach Its novelty is representing a paper by a word branch, which… read more here.
Keywords: word attention; method; word; attention ... See more keywords