Figure cooccurrence relation graph establishing method based on specific behavior cooccurrence network

Abstract

The invention discloses a figure cooccurrence relation graph establishing method based on a specific behavior cooccurrence network. The method comprises the steps that firstly, a standard training data set and a triggering vocabulary are established, and all sentences to be tested are filtered with a string matching method to obtain a collection of candidate specific behavior sentences; then, whole word feature vectors of all the sentences in the standard training data set are extracted and used for training an SVM classifier to recognize specific behaviors, the candidate specific behavior sentences are classified with the trained SVM classifier, and specific behavior sentences are recognized; finally, a specific behavior cooccurrence network including named entities and the cooccurrence relation thereof is established, and a figure cooccurrence relation graph is established based on the specific behavior cooccurrence network. By means of the figure cooccurrence relation graph establishing method, the specific behavior sentences can be effectively recognized from a large quantity of real online public opinion data, the specific behavior cooccurrence network and the figure cooccurrence relation graph are established on the base, and a novel visualized analysis method is provided for public opinion analysis.

Description

【Technical field】 [0001] The invention belongs to the field of computer application, and in particular relates to a method for constructing a co-occurrence relationship map of characters based on a co-occurrence network of specific behaviors. 【technical background】 [0002] The widespread use of mobile Internet and social media has been followed by the rapid growth of the scale of netizens and the rapid increase of network data. In the process of participating in hot topic discussions on online media, netizens will express their views on social hot topics, thus forming online public opinion. Because the dissemination of public opinion information has the characteristics of openness and concealment, it is easy to be used, and it becomes a factor that affects people's emotions and judgments and threatens social and public security. What attracts the most attention in online public opinion is what happens in reality. The public pays close attention to and discusses behaviors t...

AI Technical Summary

Problems solved by technology

[0005] However, the above-mentioned patent 1 and patent 2 both use the trigger word of the event as the event extraction standard in the process of event extraction, only by identifying the trigger word and expanding the trigger word to determine the event type of the text where the trigger word is located, the recognition is not accurate enough

Images