Name
Abstract | ||
|---|---|---|
The problem of automatically extracting opinions and emotions from textual data have gained a lot of interest recently. Unfortunately, most studies on Sentiment Analysis (SA) focus mainly on the English language, whereas studies considering other important and wide-spread languages such as Arabic are few. Moreover, publicly-available Arabic datasets are seldom found on the Web. In this work, a labeled dataset of Arabic reviews/comments is collected from a social networking website (Yahoo!-Maktoob). A detailed analysis of different aspects of the collected dataset such as the reviews' length, the numbers of likes/dislikes, the polarity distribution and the languages used is presented. Finally, the dataset is used to test popular classifiers commonly used for SA. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/ICITST.2013.6750168 | Internet Technology and Secured Transactions |
Keywords | Field | DocType |
natural language processing,social networking (online),text analysis,Arabic comments,Arabic reviews,Arabic sentiments,SA,Yahoo!-Maktoob,emotion extraction,opinion extraction,polarity distribution,sentiment analysis,social networking Web site,textual data,Arabic text analysis,document-level sentiment analysis,social network | World Wide Web,English language,Social network,Arabic,Computer science,Sentiment analysis,Support vector machine,Natural language processing,Artificial intelligence,The Internet | Conference |
ISSN | Citations | PageRank |
2164-7046 | 1 | 0.37 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mohammed N. Al-Kabi | 1 | 52 | 5.74 |
| Nawaf A. Abdulla | 2 | 34 | 2.52 |
| Mahmoud Al-Ayyoub | 3 | 730 | 63.41 |
| Al-Kabi, M.N. | 4 | 1 | 0.37 |
| Al-Ayyoub, M. | 5 | 34 | 2.48 |