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Short text is the most commonly used form of expression in the network. As short texts like microblog do not provide sufficient word occurrences, sentiment classification methods that use traditional approaches have limitations. In this paper, we propose a short text sentiment classification model called FECEM base on short text entropy optimization method. This method first selects sentiment features...
The complexity of emotion and its multi levels and multi modality of research, will inevitably lead to the multi orientation of study on it. This paper draw generalizations on the emotion physiological research based on EEG, ECG, GSR, RSP, EMG signals. The results show that: there is obvious mapping relationship between physiological signals and emotion and the physiological signals can more truly...
Unlike Tibetan, Chinese is written without spaces between successive characters and words. One experiment was carried out to test how segmentations influence sentences reading in four conditions: sentences without segmentation, characters segmentation, words segmentation and phrases segmentation. The results indicate that characters segmentation can cause interference to Chinese college students while...
Language is a product of the cerebrum thinking, based on the development of EEG technology and its use of interdisciplinary fields, the study of language becomes more and more in depth. This paper briefly introduces the linguistics, summaries the current research of Standard Chinese in three aspects (research about sound, glyph and meaning; research about part of speech; research about sentence),...
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