Sentiment analysis algorithm for Arabic reviews on the movies domain
Other Title(s)
خوارزمية لتحليل المشاعر للتعليقات العربية على نطاق الأفلام
Dissertant
al-Mansuri, Khalid Walid Nassar
Thesis advisor
Comitee Members
al-Shaykh, Asim
al-Mashaykhi, Akram
University
Amman Arab University
Faculty
Collage of Computer Sciences and Informatics
Department
Department of Computer Science
University Country
Jordan
Degree
Master
Degree Date
2017
English Abstract
Sentiment analysis has become popular in recent years and has been used in many life aspects where the people reviews are very important to know their reaction on any product.
Regarding movies, these impressions are important for people to choose the best film to watch.
Movie reviews are a very important tool for measuring the performance of the movie, most of the sentiment analysis research in those reviews are in English language, but our goal is how to analyze the feelings and reviews using Arabic language.
In this thesis, an Arabic lexicon for movies was created and the lexicon is used in applying movies sentiment analysis.
Movie Rating for Arabic Reviews System ( MRARS ) was built for sentiment analysis for Arabic movies reviews using Oracle Language.
The lexicon contains all the feelings words about movies which are positive, negative and neutral sentiment.
We collected about 1250 words, the number of positive words is 655, the number of negative words is 441 and the number of neutral words is 154.
The proposed system showed excellent performance varied between 94% - 100% and the accuracy can be raised after adding new words to the lexicon.
Main Subjects
Information Technology and Computer Science
Topics
No. of Pages
63
Table of Contents
Table of contents.
Abstract.
Abstract in Arabic.
Chapter One : Introduction.
Chapter Two : Literature survey.
Chapter Three : Research methodology.
Chapter Four : The experimintal works.
Chapter Five : Conclusions and recommendations for future work.
References.
American Psychological Association (APA)
al-Mansuri, Khalid Walid Nassar. (2017). Sentiment analysis algorithm for Arabic reviews on the movies domain. (Master's theses Theses and Dissertations Master). Amman Arab University, Jordan
https://search.emarefa.net/detail/BIM-764291
Modern Language Association (MLA)
al-Mansuri, Khalid Walid Nassar. Sentiment analysis algorithm for Arabic reviews on the movies domain. (Master's theses Theses and Dissertations Master). Amman Arab University. (2017).
https://search.emarefa.net/detail/BIM-764291
American Medical Association (AMA)
al-Mansuri, Khalid Walid Nassar. (2017). Sentiment analysis algorithm for Arabic reviews on the movies domain. (Master's theses Theses and Dissertations Master). Amman Arab University, Jordan
https://search.emarefa.net/detail/BIM-764291
Language
English
Data Type
Arab Theses
Record ID
BIM-764291