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العنوان
Mining Opining Features In Users Reviews /
المؤلف
Mohammed, Mostafa Ali Mahmoud.
هيئة الاعداد
مشرف / مصطفى على محمود محمد
مشرف / مجدى مفيد دوس
مناقش / احمد شرف الدين احمد
مناقش / تيسير حسن عبد الحميد
الموضوع
Data Mining.
تاريخ النشر
2013.
عدد الصفحات
82 p. ;
اللغة
الإنجليزية
الدرجة
ماجستير
التخصص
علوم الحاسب الآلي
الناشر
تاريخ الإجازة
30/6/2013
مكان الإجازة
جامعة أسيوط - كلية الحاسبات والمعلومات - Data Mining
الفهرس
Only 14 pages are availabe for public view

from 94

from 94

Abstract

Textual information in the world can be classified into two main categories, facts and opinions. Opinions (Words of mouth) are subjective statements that reflect people‟s sentiments or perceptions about the entities and events. With the Web, especially with the explosive growth of the user generated content on the Web, the world has changed. Opinion mining, which is called sentiment analysis, can be viewed as a classification process that aims to determine whether a certain document or text is written to express a positive or a negative opinion about a certain object (e.g., a topic, product, or person). One can post reviews of products at E-commerce sites and make comments on almost anything in Internet forums, discussion groups, and blogs, which are collectively called the user generated content. Now, if one wants to buy a product, it is no longer necessary to ask one‟s friends and families because there are plentiful of product reviews on the Web which give the opinions of the existing users of the product.