Associated word extraction method based on proper nouns

Abstract

The invention relates to an associated word extraction method based on proper nouns. The method comprises the steps that 1, a text set of a set field is acquired; 2, the text set is preprocessed to obtain feature texts; 3, an associated word of every two proper nouns is extracted from the feature texts; 4, according to relevant information of each of the associated words, regression analysis or belief network technology is used to find the interdependent relation between each associated word and the feature texts; 5, according to the interdependent relation, a part or all of the associated words are selected. Through the associated word extraction method based on the proper nouns, a maximum amount of information can be acquired with least time.

Description

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine

Login to View More

AI Technical Summary

Benefits of technology

This invention helps people learn how best things are by learning about their own unique characteristics or relationships with other similar ones based on these traits.

Problems solved by technology

This patented technology helps readers quickly find out how many old works have been copied over for understanding their relationships with other figures during an exploratory process by extracting relevant parts like word patterns related to certain characteristics such as personality traits (such as race) within these older manuscripts.