Quick text classification method for corpus
A technology of text classification and classification method, applied in the field of fast text classification of corpus, can solve the problems of inconvenient corpus in-depth analysis and research, cannot improve the efficiency and accuracy of corpus classification, and achieve the effect of improving classification speed and classification accuracy.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Publication Date
- 2021-02-05
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Figure 1
Abstract
Description
technical field
[0001] The invention relates to the technical field of corpus text classification, in particular to a fast text classification method for corpus. Background technique
[0002] Corpus refers to a large-scale electronic text library that has been scientifically sampled and processed. Its role is to enable researchers to carry out relevant language theory and application research by using computer analysis tools. Since corpora are the basic resources that carry language knowledge, corpus It is one of the main data bases for researchers and scholars to carry out linguistic research, and the corpus stores the language materials that have actually appeared in actual use. Therefore, the corpus is also one of the important theoretical sources of linguistic research methods. It is mainly used in With the continuous development of the times and the continuous improvement of computer technology in dictionary compilation, language teaching, traditional language research ...
Examples
Embodiment Construction
[0024] In order to make the technical means, creative features, goals and effects achieved by the present invention easy to understand, the present invention will be further described below in conjunction with specific embodiments.
[0025] Such as figure 1 As shown, the fast text classification method of the corpus, the classification method includes the following steps:
[0026] (1) Select the existing corpus that needs to be used;
[0027] (2) Extract information data in the corpus, and preprocess the information data;
[0028] (3) Input the preprocessing result into the vector space model;
[0029] (4) carry out feature word processing;
[0030] (5) Select a classifier for the feature words;
[0031] (6) Evaluate the effect of the classifier;
[0032] (7) Use a classifier to classify the corpus.
[0033] The existing corpus in step (1) specifically refers to the Chinese corpus, and its corpus type is specifically a monolingual type.
[0034] The information data in ...