Papers by Anat Ben David
Representations and Architectures in Neural Sentiment Analysis for Morphologically Rich Languages: A Case Study from Modern Hebrew (C18-1)
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| Challenge: | Existing sentiment analyzers for MRLs that use tokens and morpheme-based representations have no empirically studied effects of representation choices on neural sentiment analysis. |
| Approach: | They develop a sentiment analysis benchmark for Hebrew based on 12K social media comments and provide two instances of data. |
| Outcome: | The proposed benchmarks show that representation choices have measurable effects on task perfromance and that they vary depending on architecture type. |