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• W2897024084 abstract "Emotion detection in text is a research field that gained an extensive interest recently. The advancement in communication networks and the spread usage of social web is the reason of massive amount of emotions that can be extracted frequently. The extraction and analysis of such emotions provides a powerful tool in detecting and recognizing the feelings, and this provides many advantages in diverse areas. In this survey, we focused on the textual emotion detection as a task of sentiment analysis. This survey explored the latest state of art approaches for emotion detection in text, and discussed their classification according to the used techniques, the used emotional model and the different used datasets. The outcome of this paper tends to highlight the limitation and gaps of these recent works and direct the possible future research to fulfill these gaps in this increasingly developed field." @default.
• W2897024084 created "2018-10-26" @default.
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• W2897024084 date "2018-07-01" @default.
• W2897024084 modified "2023-09-24" @default.
• W2897024084 title "A Survey of Textual Emotion Detection" @default.
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• W2897024084 doi "https://doi.org/10.1109/csit.2018.8486405" @default.
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