Keyword Extraction in Arabic and English using Page Rank Algorithm


Authors : Meran M. A. Al Hadidi

Volume/Issue : Volume 9 - 2024, Issue 9 - September


Google Scholar : https://tinyurl.com/r9kfdyzt

Scribd : https://tinyurl.com/mrybp6z2

DOI : https://doi.org/10.38124/ijisrt/IJISRT24SEP454

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.


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.

Keywords : Text Rank, Keyword Extraction, Arabic Text, English Text.

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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.

Keywords : Text Rank, Keyword Extraction, Arabic Text, English Text.

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