Information classification prediction system based on full-automatic learning

Abstract

The invention relates to the field of processing of natural languages, and in particular relates to an information classification prediction system based on full-automatic learning. The system comprises a data storage module, a word segmentation module, a dictionary mapping table module and a recursive neural network module, wherein the data storage module is used for storing basic data; a dictionary mapping table maps words in an information text to be classified into vector data, and then inputs the vector data into a recursive neural network at a corresponding time; and the recursive neural network predicts the classification probability of information to be classified after recursion is ended. According to the system disclosed by the invention, the field barrier between the natural language and the neural network technology is broken; automatic classification of the enterprise industry based on natural language analysis is realized; manual feature selection is unnecessary; the disadvantage that manually selected features deviate from a specific sample in the traditional method can be avoided; the recursive neural network is used; a longer sequence feature can be captured by the model; the industry classification accuracy is improved; and a rapid and reliable industry classification tool is provided for related data analysis.

Description

technical field [0001] The invention relates to the field of natural language processing, in particular to an information classification prediction system based on fully automatic learning. Background technique [0002] With the progress of society and the prosperity and development of the market, China's economy has been on a high-speed development track. As the most important activity subject in the social economy, enterprises play an important role in the economy. Help relevant decision makers understand the business status of the company and discover potential business risks. The analysis of the main body of the enterprise is inseparable from the definition of the industry. Enterprises in different industries have some common industry characteristics and industry attributes. Case. Nowadays, there are already tens of millions of enterprises registered with industry and commerce in our country. Generally speaking, the industrial and commercial management departments will...

AI Technical Summary

Problems solved by technology

Traditional feature extraction methods are difficult to capture such sequence-dependent features. This is because when N is relatively large, the scale of the N-gram language model is too large (that is, the Nth power of the dictionary size), which directly leads to the extraction of features. Dimensions cannot be used for subsequent classification tasks

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