Name
Abstract | ||
|---|---|---|
Keyword Extraction is an important task in several text analysis endeavours. In this paper, we present a critical discussion of the issues and challenges in graph-based keyword extraction methods, along with comprehensive empirical analysis. We propose a parameterless method for constructing graph of text that captures the contextual relation between words. A novel word scoring method is also proposed based on the connection between concepts. We demonstrate that both proposals are individually superior to those followed by the sate-of-the-art graph-based keyword extraction algorithms. Combination of the proposed graph construction and scoring methods leads to a novel, parameterless keyword extraction method (sCAKE) based on semantic connectivity of words in the document. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.ins.2018.10.034 | Information Sciences |
Keywords | DocType | Volume |
Automatic keyword extraction,Text graph,Semantic connectivity,Parameterless,Language agnostic | Journal | 477 |
ISSN | Citations | PageRank |
0020-0255 | 2 | 0.39 |
References | Authors | |
30 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Swagata Duari | 1 | 2 | 2.08 |
| Vasudha Bhatnagar | 2 | 181 | 17.69 |