[01] Qin Liu, School of Foreign Language, Yancheng Teachers University, Yancheng, China.

This paper takes the emotional corpus based on Electroencephalogram (EEG) data as the research object, and take the accurate analysis of emotional state and the construction of emotional database as the goal. In recent years, more and more attention has been paid to fine-grained sentiment analysis, mainly including opinion holders, and the extraction of opinion objects. With the development of wearable perception, big data and machine learning technology, it brings opportunities for the research and solution of this problem. By collecting physiological signals and other data, we can better analyze the emotional changes of people in different states. We focus on the relationship between EEG data and emotional state, the construction of emotional corpus in small samples and the construction of emotional corpus in big data environment, so as to provide effective support for the construction of emotional corpus. In this paper, we take the accurate analysis of emotional state and the construction of emotional database as the goal. We study the relationship between EEG data and emotional state, the construction of emotional corpus in small samples and the construction of emotional corpus in the environment of big data, so as to provide effective theoretical support for the construction of emotional corpus.

Emotion Corpus, Electroencephalogram Data, Small Samples

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