A Comparative Assessment of Unsupervised Keyword Extraction Tools-Reference-Cited by-同舟云学术

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A Comparative Assessment of Unsupervised Keyword Extraction Tools

Published:2023 Issue: Volume:11 Page:144778-144798
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Nadim Mohammad¹^ORCID,Akopian David²^ORCID,Matamoros Adolfo³^ORCID

Affiliation:

1. Center for Cybersecurity Innovation, Texas A&M University-Central Texas, Killeen, TX, USA

2. Department of Electrical and Computer Engineering, The University of Texas at San Antonio, San Antonio, TX, USA

3. School of Civil and Environmental Engineering, The University of Texas at San Antonio, San Antonio, TX, USA

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10363189.pdf?arnumber=10363189

Reference84 articles.

1. Improving Performance of Text Summarization

2. Topical word trigger model for keyphrase extraction;Liu

3. KEA

4. Main large data set features detection by a linear predictor model

5. Re-examining automatic keyphrase extraction approaches in scientific articles

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