Text classification method and device
A text classification and text technology, applied in the field of text processing, can solve the problems of poor classification effect of text classification scheme, inability to accurately determine the actual opinion category of text, etc., and achieve the effect of solving poor classification effect, improving classification effect and improving accuracy.
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Embodiment 1
[0020] According to an embodiment of the present invention, an embodiment of a text classification method is provided. It should be noted that the steps shown in the flowcharts of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and, although A logical order is shown in the flowcharts, but in some cases the steps shown or described may be performed in an order different from that shown or described herein.
[0021] figure 1 is a flowchart of a text classification method according to an embodiment of the present invention, such as figure 1 As shown, the method includes the following steps:
[0022] In step S102, the text to be classified is obtained by preprocessing the text, wherein the above preprocessing includes at least one of the following: word segmentation processing, part-of-speech tagging, and stop word filtering;
[0023] Step S104, inputting the above-mentioned text to be classified into the target d...
Embodiment 2
[0072] According to an embodiment of the present invention, a device embodiment for implementing the above text classification method is also provided, Figure 4 is a schematic structural diagram of a text classification device according to an embodiment of the present invention, such as Figure 4 As shown, the above-mentioned text classification device includes: a preprocessing module 40, an input module 42 and a classification module 44, wherein:
[0073] The preprocessing module 40 is used to obtain the text to be classified by preprocessing the text, wherein the above preprocessing includes at least one of the following: word segmentation processing, part-of-speech tagging, and stop word filtering; the input module 42 is used to convert the above-mentioned text to be classified The classified text is input to the target depth classification model, wherein the above target depth classification model is determined by training and learning the training samples of the identifi...
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