Paper Info
Title
Complex Network based Supervised Keyword Extractor.
Abstract
•Complex network representation of text leverages domain and collection independence.•Graph-theoretic feature set effectively distinguishes keywords from non-keywords.•The model trained on two datasets can predict keyword from cross-collection datasets.•Model is independent of domain, collection, and language of the training corpora.
Year
DOI
Venue
2020
10.1016/j.eswa.2019.112876
Expert Systems with Applications
Keywords
Field
DocType
Supervised keyword extraction,Complex network,Graph-theoretic node properties,Text graph.
Assamese,English language,Binary classification,Hindi,Keyword extraction,Computer science,Exploit,Complex network,Extractor,Artificial intelligence,Machine learning
Journal
Volume
ISSN
Citations 
140
0957-4174
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Swagata Duari122.08
Vasudha Bhatnagar218117.69