Text Emotion Detection using Neural Network
نویسندگان
چکیده
Text emotion detection refers to identifying the type of emotion getting used by the text. The process involves two process training and testing. The training section involves training the classifier with the text and the testing section involves the identification of the type of text used. After this accuracy of the classifier is checked by measuring how many correct labels of the text does the classifier identifies. This paper focuses on the enhancement of the text emotion detection using back propagation neural network. The classification results have improved by 5 to 10 percent
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