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Multidocument Arabic Text Summarization Based on Clustering and Word2Vec to Reduce Redundancy

Research article (Information, 2020) · cited 50× · AI/ML
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Multidocument Arabic Text Summarization Based on Clustering and Word2Vec to Reduce Redundancy

Summary

Multidocument Arabic Text Summarization Based on Clustering and Word2Vec to Reduce Redundancy is a scholarly article[1].

Key Facts

  • Multidocument Arabic Text Summarization Based on Clustering and Word2Vec to Reduce Redundancy's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Multidocument Arabic Text Summarization Based on Clustering and Word2Vec to Reduce Redundancy. Retrieved May 24, 2026, from https://4ort.xyz/entity/multidocument-arabic-text-summarization-based-on-clustering-and-word2vec-to-reduce-redundancy
MLA “Multidocument Arabic Text Summarization Based on Clustering and Word2Vec to Reduce Redundancy.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/multidocument-arabic-text-summarization-based-on-clustering-and-word2vec-to-reduce-redundancy.
BibTeX @misc{4ortxyz_multidocument-arabic-text-summarization-based-on-clustering-and-word2vec-to-reduce-redundancy_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Multidocument Arabic Text Summarization Based on Clustering and Word2Vec to Reduce Redundancy}}, year = {2026}, url = {https://4ort.xyz/entity/multidocument-arabic-text-summarization-based-on-clustering-and-word2vec-to-reduce-redundancy}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Multidocument Arabic Text Summarization Based on Clustering and Word2Vec to Reduce Redundancy — https://4ort.xyz/entity/multidocument-arabic-text-summarization-based-on-clustering-and-word2vec-to-reduce-redundancy (retrieved 2026-05-24)

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