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• W2588632020 abstract "This research proposes a framework for aspect-based sentiment analysis (ABSA) of Hotels' reviews. The proposed framework consists of: (a) a reference human annotated Arabic dataset to support ABSA tasks such as aspect category identification, opinion target expression extraction, and opinion sentiment polarity. The dataset was annotated on both sentence-level and text-level, (b) baseline approach where a Support Vector Machine (SVM) was trained as part of the ABSA tasks, (c) baseline experiments and results, and (d) a common evaluation technique to provide a unified evaluation of future research working on the same dataset and ABSA tasks." @default.
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• W2588632020 date "2016-12-01" @default.
• W2588632020 modified "2023-09-24" @default.
• W2588632020 title "An enhanced framework for aspect-based sentiment analysis of Hotels' reviews: Arabic reviews case study" @default.
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• W2588632020 doi "https://doi.org/10.1109/icitst.2016.7856675" @default.
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