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
expand article infoMahmoud Al-Ayyoub, Huda Al-Sarhan, Majd Al-So Ud, Mohammad Al-Smadi, Yaser Jararweh
‡ Jordan University of Science and Technology, Irbid, Jordan
Open Access
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.
affective news, emotional affect, aspect based sentiment analysis, natural language processing, Arabic dataset