109 urn:lsid:arphahub.com:pub:3dc5f44e-8666-58db-bc76-a455210e8891 JUCS - Journal of Universal Computer Science jucs 0948-695X 0948-6968 Journal of Universal Computer Science 10.3217/jucs-023-03-0327 23063 Research Article H.3.5 - Online Information Services H.3 - INFORMATION STORAGE AND RETRIEVAL H.4.3 - Communications Applications I.2.7 - Natural Language Processing J.4 - SOCIAL AND BEHAVIORAL SCIENCES Framework for Affective News Analysis of Arabic News: 2014 Gaza Attacks Case Study Al-Ayyoub Mahmoud malayyoub@gmail.com 1 Al-Sarhan Huda 1 Ud Majd Al-So 1 Al-Smadi Mohammad 1 Jararweh Yaser 1 Jordan University of Science and Technology, Irbid, Jordan Jordan University of Science and Technology Irbid Jordan

Corresponding author: Mahmoud Al-Ayyoub (malayyoub@gmail.com).

Academic editor:

2017 28 03 2017 23 3 327 351 5F00C3A6-398B-5275-908F-595C401DFD23 5504959 15 09 2016 01 03 2017 Mahmoud Al-Ayyoub, Huda Al-Sarhan, Majd Al-So Ud, Mohammad Al-Smadi, Yaser Jararweh This article is freely available under the J.UCS Open Content License.

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.