Patent
Automatic classification method for correcting news classification
Feng Xiaoyan
- 18 Feb 2015
9
TL;DR: In this article, an automatic classification method for correcting news classification is proposed, which includes setting a configuration item, marking a sample, establishing a dictionary, training a model, performing model test, and predicating classification error correction.
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Abstract: The invention relates to an automatic classification method for correcting news classification. The automatic classification method comprises the following steps: (1) setting a configuration item; (2) marking a sample; (3) establishing a dictionary; (4) training a model; (5) performing model test; (6) predicating classification error correction. The automatic classification method is used for automatic classification error correction of news information classification and can reconfirm news information classification marked by completely relying on a portal source to filter classification information with inconsistent classification labels so as to present a user with correct classification. According to the invention, the model training and predicating are mutually independent processes, so that the accuracy of the model training can be improved conveniently, and later, all models can be directly updated; the characteristic value can be independently optimized without affecting the current prediction and model; the newly added classification method is convenient and fast, so that the configuration item of news information classification is added to a configuration file.
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Citations
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