z-logo
open-access-imgOpen Access
Text Similarity Based on English Morphological Analyzer Approach
Author(s) -
Abeer K. Al-Mashhadany,
Sura Mazin Ali,
Sawsan K. Thamer
Publication year - 2017
Publication title -
journal of al-nahrain university-science
Language(s) - Uncategorized
Resource type - Journals
eISSN - 2519-0881
pISSN - 1814-5922
DOI - 10.22401/jnus.27
Subject(s) - automatic summarization , similarity (geometry) , computer science , natural language processing , information retrieval , word (group theory) , variety (cybernetics) , artificial intelligence , search engine indexing , cluster analysis , synonym (taxonomy) , keyword extraction , metric (unit) , linguistics , image (mathematics) , philosophy , botany , operations management , biology , economics , genus
Nowadays many applications require text similarity. It becomes important for comparing texts on websites.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom