Skin electric signal-based Chinese sentiment word recognition method

Abstract

The invention discloses a skin electric signal-based Chinese sentiment word recognition method, and aims at utilizing the advantages of recognizing sentiments via physiological parameters to recognizeChinese sentiment words. The method specifically comprises the following steps of: carrying out skin electricity acquisition; carrying out preprocessing, feature extraction, normalization and featureselection on acquired data; obtaining a classification result by utilizing an improved simulated annealing artificial neural network algorithm; and finally adding sentiment word comparison in the classification result so as to carry out recognition. The method is used for recognizing 50 sentiment words, with highest sentiment strength, screened from the Modern Chinese Dictionary, the Modern Chinese Dictionary of Classification and the New Century Chinese Dictionary of New words. Experiments prove that the method is capable of recognizing Chinese sentiment words at high correctness, extractionof text sentiment words by utilizing physiological parameters is feasible, and new trains of thought are provided for later text analysis; and the system is clear in system architecture, simple and easy to realize.

Description

technical field [0001] The invention belongs to the field of processing natural language data of electric digital data processing technology, and in particular relates to a method for recognizing Chinese emotional words based on skin electro-signal emotion recognition technology. Background technique [0002] Using electrodermal signals to identify emotions has its unique advantages. For example, it is a physiological parameter, so it is more objective. For example, it is easier to collect than other physiological parameters, and it is the most effective and sensitive to neuroemotional changes. For the study of emotions using electrodermal signals, the current technology is relatively mature, so it is timely to use this technology to introduce text analysis. At present, text analysis is hindered by its strong subjectivity, difficulty in grammatical and semantic separation, and imperfect emotional lexicon. [0003] However, with the vigorous development of the Internet, the ...

AI Technical Summary

Problems solved by technology

At present, text analysis is hindered by the pace of text sentiment analysis due to its strong subjectivity, difficulty in grammatical and semantic splitting, and imperfect emotional lexicon.

[0003] However, with the vigorous development of the Internet, the text information is even more vast, which contains a lot of useful and practical information, making people unwilling to give up the extraction of text information.

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