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researcher

Issam Sahmoudi

2 papers hereh-index 548 citations9 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.CL1
  • cs.IR1

identity via Semantic Scholar / OpenAlex

most citedA new keyphrases extraction method based on suffix tree data structure for arabic documents clustering

7 citations · 7 across the 1 of their papers we have counts for

collaborators

2 papers

cs.CL2014★ 7 cited

A new keyphrases extraction method based on suffix tree data structure for arabic documents clustering

Issam Sahmoudi, Hanane Froud, Abdelmonaime Lachkar

Document Clustering is a branch of a larger area of scientific study known as data mining .which is an unsupervised classification using to find a structure in a collection of unla…

cs.IR2013

Clustering Web Search Results For Effective Arabic Language Browsing

Issam Sahmoudi, Abdelmonaime Lachkar

The process of browsing Search Results is one of the major problems with traditional Web search engines for English, European, and any other languages generally, and for Arabic Lan…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.