Classification device based on machine learning knowledge

Abstract

The invention provides a classification device based on machine learning knowledge, and the device comprises a classification rule module used for collecting a classification behavior of a user and deriving a classification reasoning rule; an acquisition module used for acquiring knowledge to be classified; an extraction module used for extracting keyword words in the knowledge content according to a word segmentation method, wherein keyword words comprise keywords and word groups; a calculation processing module used for calculating the occurrence frequency and position of the keyword words and a detection output module used for detecting the keyword words meeting the preset frequency and the preset positions and outputting the keyword words as classification results. Keyword words are extracted in the knowledge contents by adopting a word segmentation method. The nearest neighbor set is established according to the classification behaviors of the user. Comprehensive analysis is carried out in combination with keyword weighting, transformation, mixture, characteristics and meta-level. Keywords of the optimal combination are obtained, accuracy of label classification of knowledge is improved, the retrieval accuracy is improved, and information recommendation and information filtering are facilitated.

Description

technical field [0001] The invention relates to the technical field of artificial intelligence, in particular to a classification device based on machine learning knowledge. Background technique [0002] The technique of grouping knowledge into pre-assigned categories dates back to the 1960s. However, in the last 10 years, due to the massive data brought by the digitization of text knowledge, we have to classify this knowledge. Therefore, the automatic classification of knowledge has been widely concerned and developed rapidly. [0003] At present, in order to solve the knowledge classification, there are mainly the following two methods: one is the method based on knowledge engineering, which defines a large number of inference rules for each category through professionals, and if the knowledge can satisfy these inference rules, it can be determined that it belongs to the category. category; the other is the knowledge classification based on the knowledge base, that is, f...

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Problems solved by technology

[0005] In view of the above-mentioned shortcomings of the prior art, the purpose of the present invention is to provide a classification device based on machine learning knowledge, which is used to solve the problem of human participation, poor classification efficiency and accuracy when machines classify learning knowledge in the prior art. high problem

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