@inproceedings{9632ae1a9aa7426ab61a9c5367ebb9ab,
title = "Framework for affective news analysis of Arabic news: 2014 Gaza attacks case study",
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, Arabic Dataset, Aspect Based Sentiment Analysis, Emotional Affect, Natural Language Processing",
author = "Huda Al-Sarhan and Majd Al-So'ud and Mohammad Al-Smadi and Mahmoud Al-Ayyoub and Yaser Jararweh",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 7th International Conference on Information and Communication Systems, ICICS 2016 ; Conference date: 05-04-2016 Through 07-04-2016",
year = "2016",
month = may,
day = "20",
doi = "10.1109/IACS.2016.7476073",
language = "English",
series = "2016 7th International Conference on Information and Communication Systems, ICICS 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "327--332",
booktitle = "2016 7th International Conference on Information and Communication Systems, ICICS 2016",
address = "United States",
}