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The Performance Evaluation of an Igbo Text-Based Intelligent System

by Ifeanyi-Reuben Nkechi J., Odikwa Henry, Benson-Emenike Mercy E.
journal cover thumbnail

International Journal of Applied Information Systems
Foundation of Computer Science (FCS), NY, USA
Volume 12 - Number 30
Year of Publication: 2020
Authors: Ifeanyi-Reuben Nkechi J., Odikwa Henry, Benson-Emenike Mercy E.
10.5120/ijais2020451859

Ifeanyi-Reuben Nkechi J., Odikwa Henry, Benson-Emenike Mercy E. . The Performance Evaluation of an Igbo Text-Based Intelligent System. International Journal of Applied Information Systems. 12, 30 ( June 2020), 1-5. DOI=10.5120/ijais2020451859

@article{ 10.5120/ijais2020451859,
author = { Ifeanyi-Reuben Nkechi J., Odikwa Henry, Benson-Emenike Mercy E. },
title = { The Performance Evaluation of an Igbo Text-Based Intelligent System },
journal = { International Journal of Applied Information Systems },
issue_date = { June 2020 },
volume = { 12 },
number = { 30 },
month = { June },
year = { 2020 },
issn = { 2249-0868 },
pages = { 1-5 },
numpages = {9},
url = { https://www.ijais.org/archives/volume12/number30/1085-2020451859/ },
doi = { 10.5120/ijais2020451859 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2023-07-05T19:10:24.237547+05:30
%A Ifeanyi-Reuben Nkechi J.
%A Odikwa Henry
%A Benson-Emenike Mercy E.
%T The Performance Evaluation of an Igbo Text-Based Intelligent System
%J International Journal of Applied Information Systems
%@ 2249-0868
%V 12
%N 30
%P 1-5
%D 2020
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The expansion in Information Technology (IT) has inculcated Igbo, one of the three Nigeria major languages in text-based intelligent systems such as text classification, data/information retrieval and natural language processing. The evaluation of an intelligent system and its processes is very important for the progress of the system. This paper presents a performance evaluation of an Igbo text-based intelligent system. A system performance evaluation is the procedure by which a system’s resources and results are measured to find out if the system is operating at an optimal level. The performance evaluation of the system was done on classification results of an Igbo text represented with Unigram and Bigram Language Models. Object-Oriented design methodology is used for the work and is implemented with the Python programming language with tools from Natural Language Toolkit (NLTK). The system performance is assessed by calculating the precision, recall and F1-measure of the classification result obtained on Unigram, Bigram and Trigram represented text. Result shows classification on an Igbo Bigram represented text has higher level of precision and accuracy.

References
  1. Ifeanyi-Reuben Nkechi J. and Benson-Emenike Mercy E.(2018). An Efficient Feature Selection Model for Igbo Text. International Journal of Data Mining & Knowledge Management Process (IJDKP). 8(6): 19 -33
  2. Ifeanyi-Reuben N.J., Ugwu C. and Adegbola T. (2017). Analysis and representation of Igbo text document for a text-based system. International Journal of Data Mining Techniques and Applications (IJDMTA). 6(1): 26-32
  3. Ifeanyi-Reuben Nkechi J., Ugwu Chidiebere and Nwachukwu E.O. (2017). Comparative Analysis of N-gram Text Representation on Igbo Text Document Similarity. International Journal of Applied Information Systems (IJAIS). 12(9): 1-7
  4. Hsiao-Ya Chiu, Chieh-Chung Sheng and An-Pin Chen (2008). Modeling agent-based performance evaluation for e-learning systems. The Electronic Library. 26 (3): 345-362
  5. Raj Jain (1991). The Art of Computer Systems Performance Analysis: Techniques for Experimental Design, Measurement, Simulation, and Modeling. ISBN: 978-0-471-50336-1
  6. Manicka Chezian R. and Kanakalakshmi C. (2015). Performance Evaluation of Machine LearningmTechniques for Text Classification. Proceedings of the UGC Sponsored National Conference on Advanced Networking and Applications. Special Issue Published in Int. Jnl. Of Advanced Networking and Applications (IJANA). 53 – 57
  7. K. Kant (1992). Introduction to Computer System Performance Evaluation, McGraw-Hill Inc.
  8. Zhang W., Yoshida T. and Tang X. (2008). Text Classification based on multi-word with support vector machine. Journal of Knowledge-based systems. 21 (2008): 879-886
  9. Aditi Mahajan and Anita Ganpati (2015) . Performance Evaluation of Rule Based Classification Algorithms. International Journal of Advanced Research in Computer Engineering & Technology (IJARCET). 3(10): 3546 - 3550
  10. Essam, S. H. (2013). Similar Thesaurus based on Arabic document: An overview and comparison. International Journal of Computer Science, Engineering and Applications (IJCSEA). 3(2): 1-10.
  11. Onyenwe, I. E., Uchechukwu, C. and Hepple, M. (2014). Part-of-Speech Tagset and Corpus Development for Igbo, an African language. The 8th linguistic annotation workshop, Dublin, Ireland, pp 93-98.
  12. Jafar A., Omar A., Wael H., Nidhal K. T. E. and Ali A. (2014). Vector space models to classify Arabic text. International Journal of Computer Trends and Technology (IJCTT). 7(4): 219 – 223
Index Terms

Computer Science
Information Sciences

Keywords

Performance Evaluation Igbo Language Text Classification Unigram Model Bigram Model Trigram Model

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