Text event classification method based on CHI feature selection
A technology of feature selection and classification methods, applied in unstructured text data retrieval, special data processing applications, instruments, etc., can solve the lack of event classification methods and other problems, and achieve the effect of improving analysis efficiency and analysis accuracy
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[0028] Further details will be given below in conjunction with the accompanying drawings and embodiments.
[0029] The overall process of this method can be found in figure 1 . This example selects online news report manuscripts as the original corpus for model training. A total of 9 categories of topics are selected, including: automobile, finance, IT, health, sports, tourism, education, recruitment, culture, and military texts. There are 2,000 texts in each type, a total of 18,000 The corpus covers most of the event topics in social life, with high coverage, rich features, and moderate corpus size, which can provide sufficient training and testing corpus. For the text corpus to be classified, 20 online news reports of the "rainstorm" event were selected as an example of implementation.
[0030] (1) Classification model training process:
[0031] Step 11: Text training corpus selection; that is, selecting text training corpus from network texts.
[0032] Step 12: text cor...
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