KDA: An unsupervised approach for analyzing keyphrases distance from news articles as a feature of keyphrase extraction

• Main Authors: Alam Miah, Mohammad Badrul, Suryanti, Awang
• Format: Conference or Workshop Item
• Language: English
• Published: 2022
• Subjects: QA75 Electronic computers. Computer science; QA76 Computer software; T Technology (General); TA Engineering (General). Civil engineering (General)
• Online Access: http://umpir.ump.edu.my/id/eprint/36844/1/KDA%20_%20An%20unsupervised%20approach%20for%20analyzing%20keyphrases%20distance%20from%20news%20articles%20as%20a%20feature%20of%20keyphrase%20extraction.pdf; http://umpir.ump.edu.my/id/eprint/36844/; https://ncon-pgr.ump.edu.my/index.php/en/?option=com_fileman&view=file&routed=1&name=E-BOOK%20NCON%202022%20.pdf&folder=E-BOOK%20NCON%202022&container=fileman-files

Automatic keyphrase extraction remains a significant and difficult issue in the current research domain because of the exponential explosion of information and internet sources. Various activities involving natural language processing and information retrieval systems greatly benefit from the use of...