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What is the meaning of text classification in computer?

2025-02-25 Update From: SLTechnology News&Howtos shulou NAV: SLTechnology News&Howtos > Internet Technology >

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Editor to share with you what the computer Chinese text classification refers to. I hope you will get something after reading this article. Let's discuss it together.

Text classification is not only an important application of natural language processing, but also the most basic application. Text classification uses the computer to automatically classify and mark the text set according to a certain classification system or standard; it finds the relationship model between document features and document categories according to a marked set of training documents, and then uses this relational model to judge the category of the new document.

Text classification uses a computer to automatically classify and mark a text set (or other entities or objects) according to a certain classification system or standard. According to a labeled set of training documents, it finds the relationship model between document features and document categories, and then uses the relationship model to judge the category of new documents. Text classification has gradually changed from a knowledge-based method to a statistical and machine learning-based method.

Text classification generally includes the process of text expression, selection and training of classifiers, evaluation and feedback of classification results, in which text expression can be subdivided into text preprocessing, indexing and statistics, feature extraction and other steps. The overall functional modules of the text classification system are:

(1) preprocessing: the original corpus is formatted into the same format to facilitate subsequent unified processing.

(2) indexing: decomposes the document into basic processing units while reducing the overhead of subsequent processing

(3) Statistics: word frequency statistics, correlation probability between items (words, concepts) and classification

(4) feature extraction: extract features that reflect the subject of a document from a document.

(5) Classifier: the training of classifier

(6) Evaluation: analysis of test results of the classifier.

After reading this article, I believe you have a certain understanding of "what is the meaning of computer text classification". If you want to know more about it, you are welcome to follow the industry information channel. Thank you for your reading!

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