JUCS - Journal of Universal Computer Science 23(3): 327-351, doi: 10.3217/jucs-023-03-0327
Framework for Affective News Analysis of Arabic News: 2014 Gaza Attacks Case Study
Mahmoud Al-Ayyoub‡, Huda Al-Sarhan‡, Majd Al-So Ud‡, Mohammad Al-Smadi‡, Yaser Jararweh‡‡ Jordan University of Science and Technology, Irbid, Jordan
Corresponding author: Mahmoud Al-Ayyoub ( malayyoub@gmail.com ) © Mahmoud Al-Ayyoub, Huda Al-Sarhan, Majd Ud, Mohammad Al-Smadi, Yaser Jararweh. This article is freely available under the J.UCS Open Content License. Citation:
Al-Ayyoub M, Al-Sarhan H, Ud MA-S, Al-Smadi M, Jararweh Y (2017) Framework for Affective News Analysis of Arabic News: 2014 Gaza Attacks Case Study. JUCS - Journal of Universal Computer Science 23(3): 327-351. https://doi.org/10.3217/jucs-023-03-0327 |  |
Abstract
This paper aims at fostering the domain of Arabic affective news analysis through providing: (a) a benchmark annotated Arabic dataset of news for affective news analysis, (b) an aspect-based sentiment analysis (ABSA) approach for evaluating the sentimental affect of Arabic news posts on the reader, and (c) a baseline approach with a common evaluation framework to compare future research results with the baseline ones.
Keywords
affective news, emotional affect, aspect based sentiment analysis, natural language processing, Arabic dataset