A Method of Sentiment Judgment for Related Entities Based on Diffusion Model

Abstract

The invention provides a method for judging the emotion of an associated entity based on a diffusion model, and relates to the field of information technology. This method first judges the connection between entities in the text based on the existing corpus information, establishes a relationship graph between entities, and builds a sentiment analysis module to judge the actual emotions of all entities in the text; then uses the diffusion propagation algorithm to target different Emotion determines different emotion diffusion patterns; according to the relationship between associated entities, combined with the emotion diffusion pattern, calculates the emotion scores of other entities; then determines the emotions of other entities according to the preset threshold; finally combines the relationship of associated entities The network and emotional diffusion model can be used to obtain the emotional impact of the text on the entire industry; the method for judging the emotion of related entities based on the diffusion model provided by the present invention can analyze the entities in the text and then extend it to other related entities , to improve the utilization of text and increase the depth of data mining.

Description

technical field [0001] The invention relates to the field of information technology, in particular to a method for judging the emotion of an associated entity based on a diffusion model. Background technique [0002] With the rapid development of Internet technology, information on the Internet has shown explosive growth, but compared with all aspects of life that can be involved in life, the Internet still has many aspects that are difficult to cover or insufficiently covered. In particular, the problems of uneven information coverage and different amounts of information lead to the majority of information on some entities on the Internet, while the information of some entities is indeed very little, which may lead to completely different evaluation standards for similar entities. [0003] Nowadays, it is a common method to make an overall judgment on an entity based on Internet information. Whether it is to query the basic information of this entity or to understand some a...

AI Technical Summary

Problems solved by technology

[0004] In addition, when the current media news is reported, it is often only for the mentioned entities, but many phenomena are industry phenomena

However, the assessment of industry phenomena is very difficult, because a certain industry covers a wide range and the situation in the industry is complex. Adds to the difficulty of industry assessment

[0005] At present, the sentiment analysis of an ordinary news is usually only aimed at the entity itself that appears in the news; while the sentiment analysis of a more important news is often related, making the influence of the news often exceed the news itself. Coverage, and have an impact on other entities, other industries and industries, such in-depth analysis often requires a lot of manpower and material resources to have such an effect

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