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Emotion recognition from Uyghur sentences based on combinations of class discrimination words and a sentiment dictionary |
| Abdusalam Dawut1, Hussein Yusuf2, Askar Hamdulla2 |
1. School of Software, Xinjiang University, Urumqi 830046, China;
2. School of Information Science and Engineering, Xinjiang University, Urumqi 830046, China |
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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.
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| Keywords
class discrimination word
sentiment dictionary
sentence sentiment
emotion recognition
Uyghur
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Issue Date: 15 February 2017
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2017,
Vol. 57
