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Deanship of Graduate Studies
Document Details
Document Type
:
Thesis
Document Title
:
BUILDING A LARGE SCALE ARABIC SENTIMENT ANALYSIS
بناء معجم معنوي واسع النطاق باللغة العربية
Subject
:
Faculty of Computing and Information Technology
Document Language
:
Arabic
Abstract
:
The dramatic amount of posts expressing Arabic opinion on the Internet has raised a huge need for sentiment analysis. Sentiment analysis is a challenging task whose accuracy depends on the availability of a number of resources and tools, including sentiment lexicon. This work builds an Arabic sentiment lexicon using a corpus-based approach. The lexicon has been built using different similarity measurements and propagation method. The use of similarity measurements depends on the fact that the words are appearing in the same context will have similar polarity. Also, propagation method helps to distribute a polarity value between lexicon entries. Cosine similarity has outperformed other similarities in building the Arabic lexicon.
Supervisor
:
Dr. Muazzam Siddiqui
Thesis Type
:
Master Thesis
Publishing Year
:
1440 AH
2018 AD
Added Date
:
Thursday, September 27, 2018
Researchers
Researcher Name (Arabic)
Researcher Name (English)
Researcher Type
Dr Grade
Email
افنان عطية السلمي
Alsolamy, Afnan Atiah
Researcher
Master
Files
File Name
Type
Description
43730.pdf
pdf
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