Information mining method, electronic device and readable storage medium

Abstract

The invention discloses an information mining method, an electronic device and a readable storage medium. The method comprises the steps of obtaining a specific type of information from a predetermined data source in real time or in regular time; conducting word-segmentation processing on the obtained information, and conducting part-of-speech tagging on each word segmentation corresponding to each information; according to the word-segmentation sequence and part of speech of each word segmentation corresponding to the information, constructing each word segmentation corresponding to the information into a word-segmentation tree of a preset structure; after the word-segmentation structure of the preset structure corresponding to the information is constructed, according to the word-segmentation structure of the preset structure corresponding to the information, parsing out core opinion information corresponding to the information. Through the adoption of the method, deep mining of the information is achieved, and the core opinion information in the information is obtained accurately.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to an information mining method, an electronic device and a readable storage medium. Background technique [0002] At present, in the field of information mining and pushing, the industry usually analyzes and screens specific types of information (for example, news headline information) in real time or at regular intervals from predetermined data sources (for example, major news websites) to automatically mine out target information. information. The existing analysis and screening scheme is: pre-training a classifier to identify the category labels of the information; and then using the trained classifier to identify the category labels of specific types of information to identify the target information belonging to the preset category labels. This existing analysis and screening scheme can only identify the target information that belongs to the preset category label, and canno...

AI Technical Summary

Problems solved by technology

This existing analysis and screening scheme can only identify the target information that belongs to the preset category label, and cannot deeply mine the core viewpoint information pointed to by the target information, so that the accuracy of mining and pushing the target information cannot be guaranteed, and it is prone to errors

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