Identifying Sentiments in Algerian Code-switched User-generated Comments (2020.lrec-1)
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| Challenge: | a recent study has focused on sentiment analysis for the Arabic variety, but it has been extended to other domains. |
| Approach: | They build a corpus of 36,000 code-switched user-generated comments annotated for sentiments in Algerian Arabic. |
| Outcome: | The proposed model performs better on unedited code-switched and unbalanced data across sentiment classes. |
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