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Improved Hybrid Model for Classification of Text Documents · Peerford

Article · Journal · 2023

Improved Hybrid Model for Classification of Text Documents

May Tamara Stow, Chibuike Chris Ogbonna Ugwu, Laeticia N. Onyejegbu

European Journal of Artificial Intelligence and Machine Learning

Open access · Diamond

Read it 10.24018/ejai.2023.2.2.22

Citations: 0from other works
Field-weighted impact: 0.001.00 is the world average for its field and year
Among its field: 3rd percentileby citations, against works of its field and year
Authors: 3from 1 institution

Authors

3 authors

May Tamara StowFirst authorCorresponding
- University of Port Harcourt (NG)
as printed: May T. Stow
Chibuike Chris Ogbonna Ugwu
- University of Port Harcourt (NG)
as printed: Chidiebere Ugwu
Laeticia N. OnyejegbuSenior author
- University of Port Harcourt (NG)

Development goals

4Quality education

Country

Nigeria

Fields

A work can sit in several, each with a score

Text and Document Classification TechnologiesTopic