Live video subject classification method, device and electronic equipment

Abstract

The embodiment of the present invention provides a live video topic classification method, device and electronic equipment, by collecting the bullet chat information of the live video, splicing the bullet chat information of the live video to obtain the long text of the bullet screen, and combining the long text of the bullet screen with the corpus Match the bullet chat information in the bullet chat, and use the matched word or phrase in the bullet chat long text as a keyword, and make the first frequency of occurrence greater than the first preset threshold and the second frequency of occurrence less than the second preset threshold The keyword is determined as a theme keyword, and based on the theme keyword, the subject classification result of the live video is determined. By adopting the present invention, based on the barrage information generated in the live video, the subject classification of the live video can be automatically realized, and the subject classification of the live video is no longer required manually, thereby reducing the cost of classifying the subject of the live video and improving the classification efficiency.

Description

technical field [0001] The present invention relates to the field of multimedia technology, in particular to a live video topic classification method, device and electronic equipment based on barrage data. Background technique [0002] As a new type of entertainment, live streaming has a broad market and a certain audience base, and it is more and more closely related to people's lives. The content of the live broadcast mainly comes from bloggers with strong autonomy, so the theme of the live broadcast highlights the characteristics of fragmentation, so it is very urgent to obtain the broadcast content of the live broadcast in a timely manner. [0003] Usually, the classification of live video topics is mainly based on manual work. One method is defined by the anchor. Before the broadcast on the live broadcast platform, the anchor must select the theme category to start broadcasting, such as games, beauty makeup, two-dimensional, etc., which can be defined by the anchor. Th...

AI Technical Summary

Problems solved by technology

[0003] Usually, the classification of live video topics is mainly based on manual work. One method is defined by the anchor. Before the broadcast on the live broadcast platform, the anchor must select the theme category to start broadcasting, such as games, beauty makeup, two-dimensional, etc., which can be defined by the anchor. The category determines the topic category of the live content. Using this method to distinguish the topic category of the live video has the problem of inaccurate topic classification

Another method is that the company can manually monitor the live video content, and distinguish the subject category of the live video according to the monitored live video content. If there is sensitive information in the live video content, the live account can be banned or other processing, and the live video can be processed in this way. Classification of topics is costly and inefficient

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