Emotion recognition from Uyghur sentences based on combinations of class discrimination words and a sentiment dictionary

doi:10.16511/j.cnki.qhdxxb.2017.22.014

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Journal of Tsinghua University(Science and Technology) ›› 2017, Vol. 57 ›› Issue (2) : 197-201. DOI: 10.16511/j.cnki.qhdxxb.2017.22.014

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Emotion recognition from Uyghur sentences based on combinations of class discrimination words and a sentiment dictionary

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Abstract

This paper presents a recognition method for Uyghur sentence sentiments, such as anger, happiness, sadness and wonder based on combining class-discrimination words (CDW) and a sentiment dictionary. The sentiment expression characteristics in the Uyghur sentence text are identified from features extracted using a CDW feature selection method for the emotion recognition. A set of emotional words is collected manually and put into a sentiment dictionary which is combined with the CDW feature words for the emotion recognition. Tests show that the combined method is more effective than only the CDW feature based method.

Key words

class discrimination word / sentiment dictionary / sentence sentiment / emotion recognition / Uyghur

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Abdusalam Dawut, Hussein Yusuf, Askar Hamdulla. Emotion recognition from Uyghur sentences based on combinations of class discrimination words and a sentiment dictionary[J]. Journal of Tsinghua University(Science and Technology). 2017, 57(2): 197-201 https://doi.org/10.16511/j.cnki.qhdxxb.2017.22.014

References

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