Research paper classification systems based on TF-IDF and LDA schemes

With the increasing advance of computer and information technologies, numerous research papers have been published online as well as offline, and as new research fields have been continuingly created, users have a lot of trouble in finding and categorizing their interesting research papers. In order...

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Veröffentlicht in:	Human-centric computing and information sciences Jg. 9; H. 1; S. 1 - 21
Hauptverfasser:	Kim, Sang-Woon, Gil, Joon-Min
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 26.08.2019 Korea Information Processing Society, Computer Software Research Group
Schlagworte:	Algorithms Artificial Intelligence Big data Classification Cloud Computing for Human-centric Computing Cluster analysis Clustering Communications Engineering Computer Science Computer Systems Organization and Communication Networks Dirichlet problem Information Systems and Communication Service Information Systems Applications (incl.Internet) IoT Networks Scientific papers User Interfaces and Human Computer Interaction Vector quantization LDA K-means clustering TF-IDF Paper classification
ISSN:	2192-1962, 2192-1962
Online-Zugang:	Volltext
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