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

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

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...

Full description

Bibliographic Details
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/
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

Similar Items

Similar Items