Keyphrases Concentrated Area Identification from Academic Articles as Feature of Keyphrase Extraction: A New Unsupervised Approach-Reference-Cited by-同舟云学术

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Keyphrases Concentrated Area Identification from Academic Articles as Feature of Keyphrase Extraction: A New Unsupervised Approach

Published:2022 Issue:1 Volume:13 Page:
ISSN:2156-5570
Container-title:International Journal of Advanced Computer Science and Applications
language:en
Short-container-title:IJACSA

Author:

Miah Mohammad Badrul Alam,Awang Suryanti,Azad Md. Saiful,Rahman Md Mustafizur

Publisher

The Science and Information Organization

Subject

General Computer Science

Link

http://thesai.org/Downloads/Volume13No1/Paper_92-Keyphrases_Concentrated_Area_Identification_from_Academic_Articles.pdf

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. W-rank: A keyphrase extraction method for webpage based on linguistics and DOM-base features;VAWKUM Transactions on Computer Sciences;2023-05-30

2. A New Unsupervised Technique to Analyze the Centroid and Frequency of Keyphrases from Academic Articles;Electronics;2022-09-02

3. Keyphrases Frequency Analysis From Research Articles: A Region-Based Unsupervised Novel Approach;IEEE Access;2022

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