A New Unsupervised Technique to Analyze the Centroid and Frequency of Keyphrases from Academic Articles

• Main Authors: Miah, Mohammad Badrul Alam, Suryanti, Awang, Rahman, Md Mustafizur, A. S. M., Sanwar Hosen, Ra, In-Ho
• Format: Article
• Language: English
• Published: MDPI 2022
• Subjects: QA75 Electronic computers. Computer science; TA Engineering (General). Civil engineering (General)
• Online Access: http://umpir.ump.edu.my/id/eprint/35105/1/A%20New%20Unsupervised%20Technique%20to%20Analyze.pdf; http://umpir.ump.edu.my/id/eprint/35105/; https://doi.org/10.3390/electronics11172773; https://doi.org/10.3390/electronics11172773

Automated keyphrase extraction is crucial for extracting and summarizing relevant information from a variety of publications in multiple domains. However, the extraction of good-quality keyphrases and the summarising of information to a good standard have become extremely challenging in recent resea...