Improving the performance of Naïve Bayes algorithm for Arabic text categorization
Other Title(s)
تحسين أداء خوارزمية (Naïve Bayes) في تصنيف النصوص العربية
Dissertant
Thesis advisor
Qaqish, Malik
al-Mashayikhi, Akram Uthman
Comitee Members
Azami, Muayyad Abd al-Razzaq
al-Mashaqibah, Firas Faris
University
Amman Arab University
Faculty
Collage of Computer Sciences and Informatics
Department
Department of Computer Science
University Country
Jordan
Degree
Master
Degree Date
2010
English Abstract
In this research four techniques are implemented to find the best results using Naïve Bayes algorithm classifier for Arabic text categorization.
These techniques are:(Term Frequency (TF),Term Frequency –Inverse document frequency TF-IDF, Normalized TF-IDF, Normalized TF-IDF with N-Gram (N=2) statistical stemmer and threshold similarity 0.8). The four techniques are evaluated by two test sets.
The results showed that the Normalized TF-IDF with N-Gram with N=2 statistical stemmer with threshold similarity 0.8 technique had the best accuracy result, and the TF technique had the shortest running time
Main Subjects
Topics
No. of Pages
45
Table of Contents
Table of contents.
Abstract.
Abstract in Arabic.
Chapter One : Introduction.
Chapter Two : Classifier algorithms.
Chapter Three : Literature review.
Chapter Four : The proposed system architecture.
Chapter Five : Experiments and evaluation.
Chapter Six : Conclusion and future work.
References.
American Psychological Association (APA)
Abu Aqulah, Nibras Jamal. (2010). Improving the performance of Naïve Bayes algorithm for Arabic text categorization. (Master's theses Theses and Dissertations Master). Amman Arab University, Jordan
https://search.emarefa.net/detail/BIM-529116
Modern Language Association (MLA)
Abu Aqulah, Nibras Jamal. Improving the performance of Naïve Bayes algorithm for Arabic text categorization. (Master's theses Theses and Dissertations Master). Amman Arab University. (2010).
https://search.emarefa.net/detail/BIM-529116
American Medical Association (AMA)
Abu Aqulah, Nibras Jamal. (2010). Improving the performance of Naïve Bayes algorithm for Arabic text categorization. (Master's theses Theses and Dissertations Master). Amman Arab University, Jordan
https://search.emarefa.net/detail/BIM-529116
Language
English
Data Type
Arab Theses
Record ID
BIM-529116
