CLASENTI: A class-specific sentiment analysis framework

• Main Authors: Hamdi, Ali, Shaban, Khaled Bashir, Zainal, Anazida
• Format: Article
• Published: Association for Computing Machinery 2018
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://eprints.utm.my/id/eprint/84314/; https://doi.org/10.1145/3209885

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...