Computer Science
a year ago

New method revolutionizes Arabic text summarization for improved language processing.

Method for Arabic text Summarization using statistical features and word2vector approach
Khaled Omar, Mohamad Al-Shaar

Paper Summary

Related papers

Theme background image
Computer Science
3 years ago

Text summarization boosts text classification efficiency and accuracy in Chinese language.

Multi-label Classification
Data Extraction
Keyword Extraction
2 views
Theme background image
Computer Science
3 years ago

Revolutionizing Information Access: New System Summarizes Multiple Documents Automatically

Natural Language Processing
Keyword Extraction
Machine Translation
2 views
Theme background image
Computer Science
3 years ago

Revolutionize Arabic text summarization with Genetic Algorithms for concise information!

Natural Language Processing
Machine Translation
Keyword Extraction
2 views

Arabic text summarization is a way to shorten long Arabic texts. Researchers found that existing methods for summarizing Arabic texts have weaknesses due to the unique features of the Arabic language. They developed a new method that uses statistical features and a word2vector approach to improve Arabic text summarization.