CLASENTI: A class-specific sentiment analysis framework
Arabic text sentiment analysis suffers from low accuracy due to Arabic-specific challenges (e.g., limited resources, morphological complexity, and dialects) and general linguistic issues (e.g., fuzziness, implicit sentiment, sarcasm, and spam). The limited resources problem requires efforts to build...
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| Main Authors: | , , |
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| Format: | Article |
| Published: |
Association for Computing Machinery
2018
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/84314/ https://doi.org/10.1145/3209885 |
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