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Register a new userSentence-Level Arabic Sentiment Analysis
تحليل المشاعر في اللغة العربية على مستوى الجملة
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الجامعة الأميركية في القاهرة ورقة بحثية
Publication date
2012
fields
Informatics Engineering
and research's language is
العربية
Authors
أميرة شكري( باحث )
Created by
Shamra Editor
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البحوث العلمية حول تحليل المشاعر في اللغة العربية محدودة جدا في الوقت الحالي. بينما يوجد العديد من تطبيقات تحليل المشاعر في اللغة الانكليزية, اللغة العربية مازالت تخطو خطى بطيئة في هذا المجال. في هذا البحث، نقوم بعرض تطبيق حول تحليل المشاعر في اللغة العربية عبر تطبيق مصنف مشاعر لتغريدات عربية. التغريدات تم تحليلها لكي نحصل على قطبية مشاعر (ايجابية او سلبية)، بما أن البيانات تم جمعها من شبكة التواصل الاجتماعي تويتر, فهذا يعكس أهميتها الكبيرة في الشرق الأوسط، حيث اللغة العربية هي اللغة المحكية.
Arabic sentiment analysis research existing currently is very limited. While sentiment analysis has many applications in English, the Arabic language is still recognizing its early steps in this field. In this paper, we show an application on Arabic sentiment analysis by implementing a sentiment classification for Arabic tweets. The retrieved tweets are analyzed to provide their sentiments polarity (positive, or negative). Since, this data is collected from the social network Twitter; it has its importance for the Middle East region, which mostly speaks Arabic
References used
K. Yessenov, and S. Misailovic, “Sentiment Analysis of Movie Review Comments”, Graduation project. 17th, May, 2009
A. Abbasi, H. Chen, and A. Salem, “Sentiment analysis in multiple languages: Feature selection for opinion classification in web forums” ACM Transactions on Information Systems (TOIS), Vol 26, Issue 3, June 2008
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