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

• Published in: Human-centric computing and information sciences Vol. 9; no. 1; pp. 1 - 21
• Main Authors: Kim, Sang-Woon, Gil, Joon-Min
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 26.08.2019; Korea Information Processing Society, Computer Software Research Group
• Subjects: 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

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...