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.
| Original language | English |
|---|---|
| Pages (from-to) | 327-351 |
| Number of pages | 25 |
| Journal | Journal of Universal Computer Science |
| Volume | 23 |
| Issue number | 3 |
| State | Published - 2017 |
| Externally published | Yes |
Keywords
- Affective news
- Arabic dataset
- Aspect based sentiment analysis
- Emotional affect
- Natural language processing
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