Key concept identification: A comprehensive analysis of frequency and topical graph-based approaches
Automatic key concept extraction from text is the main challenging task in information extraction, information retrieval and digital libraries, ontology learning, and text analysis. The statistical frequency and topical graph-based ranking are the two kinds of potentially powerful and leading unsupe...
Saved in:
| Main Authors: | Aman, M., Said, A.M., Kadir, S.J.A., Ullah, I. |
|---|---|
| Format: | Article |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.20916 / |
| Published: |
MDPI AG
2018
|
| Online Access: |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85047108372&doi=10.3390%2finfo9050128&partnerID=40&md5=2fdeac62d74ea6cd8c8ea4c51f12a72e http://eprints.utp.edu.my/20916/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Key concept identification: A comprehensive analysis of frequency and topical graph-based approaches
by: Aman, M., et al.
Published: (2018) -
KEY CONCEPT IDENTIFICATION FROM UNSTRUCTURED TEXT DATA
USING SEMANTIC-BASED DATA-DRIVEN APPROACH
by: AMAN, MUHAMMAD
Published: (2019) -
Evolving spiking neural network: A comprehensive survey of its variants and their results
by: IBAD, T., et al.
Published: (2020) -
KP-Rank: a semantic-based unsupervised approach for keyphrase extraction from text data
by: Aman, M., et al.
Published: (2021) -
An intelligent graph edit distance-based approach for finding business process similarities
by: Sohail, A., et al.
Published: (2021)