Keyword Extraction in Arabic and English using Page Rank Algorithm

This paper shows a comparison in applying TextRank algorithm for keyword extraction to English and Arabic Text. TextRank algorithm is applied by constructing a graph whose vertices that are formed by candidate words extracted from the title and the abstract of the given Arabic and English after applying a tagging filter to that text to decide the importance of vertices within that graph.

Authors

Publication Details

Journal
International Journal of Innovative Science and Research Technology (IJISRT)
Published
2024-09-19
DOI
https://doi.org/10.38124/ijisrt/ijisrt24sep454
Citations
1
Primary Topic
Advanced Text Analysis Techniques
Type
article
Field-Weighted Citation Impact
0.35
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article

Keyword Extraction in Arabic and English using Page Rank Algorithm

Meran M. A. Al Hadidi
1 citations
International Journal of Innovative Science and Research Technology (IJISRT)
Advanced Text Analysis Techniques
0.35
article

Keyword Extraction in Arabic and English using Page Rank Algorithm

Meran M. A. Al Hadidi
article en
1 citations

Abstract

This paper shows a comparison in applying TextRank algorithm for keyword extraction to English and Arabic Text. TextRank algorithm is applied by constructing a graph whose vertices that are formed by candidate words extracted from the title and the abstract of the given Arabic and English after applying a tagging filter to that text to decide the importance of vertices within that graph.

International Journal of Innovative Science and Research Technology (IJISRT)
Openalex Percentile: Top 34%
Advanced Text Analysis Techniques
0.35
DOIOpen Access PDFOpenAlex
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Keyword Extraction in Arabic and English using Page Rank Algorithm — Meran M. A. Al Hadidi · International Journal of Innovative Science and Research Technology (IJISRT) (2024) | TGRS Research Map | TGRS