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- W2518793011 abstract "Emotions are an indispensable component of variety of texts present on online social media services. A lot of research has been done to detect and analyse the emotions present in text but most of them are done from the authorrs perspective. This paper focuses on providing an in-depth survey of different work done in Social Emotion Mining (SEM) from readerrs perspective. It is a first attempt towards categorization of existing literature into emotion mining levels. It also highlights different models and techniques utilized by various authors in this area. Major limitations and challenges in this area of Emotion Detection and Analysis are also presented." @default.
- W2518793011 created "2016-09-23" @default.
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- W2518793011 date "2016-01-01" @default.
- W2518793011 modified "2023-09-26" @default.
- W2518793011 title "Social Emotion Mining: An Insight" @default.
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- W2518793011 doi "https://doi.org/10.22161/ijaers/3.9.5" @default.
- W2518793011 hasPublicationYear "2016" @default.
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