Item request has been placed!
×
Item request cannot be made.
×
![loading](/sites/all/modules/hf_eds/images/loading.gif)
Processing Request
A Prototype for a Standard Arabic Sentiment Analysis Corpus.
Item request has been placed!
×
Item request cannot be made.
×
![loading](/sites/all/modules/hf_eds/images/loading.gif)
Processing Request
- معلومة اضافية
- نبذة مختصرة :
The researchers in the field of Arabic Sentiment Analysis (SA) need a relatively big standard corpus to conduct their studies. There are a number of existing datasets; however, they suffer from certain limitations such as the small number of reviews or topics they contain, the restriction to Modern Standard Arabic (MSA), etc., Moreover, most of them are in-house datasets that are not publicly available. Therefore, this study aims to establish a flexible and relatively big standard Arabic SA corpus that can be considered as a foundation to build larger Arabic corpora. In addition to MSA, this corpus contains reviews written in the five main Arabic dialects (Egyptian, Levantine, Arabian Peninsula, Mesopotamian, and Maghrebi group). Furthermore, this corpus has other five types of reviews (English, mixed MSA English, French, mixed MSA and Emoticons, and mixed Egyptian and Emoticons). This corpus is released for free to be used by researchers in this field, where it is characterized by its flexibility in allowing the users to add, remove, and revise its contents. The total number of topics and reviews of this initial version are 250 and 1,442, respectively. The collected topics are distributed equally among five domains (classes): Economy, Food-Life style, Religion, Sport, and Technology, where each domain has 50 topics. This corpus is built manually to ensure the highest quality ' to the researchers in this field. [ABSTRACT FROM AUTHOR]
- نبذة مختصرة :
Copyright of International Arab Journal of Information Technology (IAJIT) is the property of Colleges of Computing & Information Society and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
No Comments.