Text handling method and system

Abstract

The invention discloses a method for handling text,which is used for text feature extraction technology. The method includes it classifies the training text based on the training model parameters and deletes the wrong classified training text in order to concentrate new training text and retain the correctly classified training text, and it sets new version of feature according to the correctly classified training text. And it trains the model parameters based on the above new training set and the new version of the feature. The invention also provides a text-handling system.

Description

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AI Technical Summary

Problems solved by technology

[0005] In the above prior art, in the traditional text feature extraction method, each document in the training document set has a strong correlation with the corresponding category

For SMS texts, a large amount of SMS texts are needed as training data sets to train the model during training, but due to the huge amount of training texts, it is impossible to manually classify each piece of training data accurately, resulting in the training text set itself including A large amount of noise data has low reliability. Using the traditional feature extraction method to extract SMS features based on the training set will cause the extracted feature set to contain more noise features, reducing the training features extracted from the tra

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