Data processing method and device, equipment and storage medium

Abstract

The embodiment of the invention discloses a data processing method and device, equipment and a storage medium in the field of artificial intelligence. The method comprises the steps: acquiring a target text of a target bullet screen; determining a first recognition result of the target bullet screen according to the target text through a first bullet screen recognition model, wherein the first bullet screen recognition model is obtained by training based on a first training sample comprising a first training text and a corresponding weak labeling result, and the weak labeling result is determined according to whether a bullet screen playing function is closed after a bullet screen to which the first training text belongs is played; determining a second recognition result of the target bullet screen according to the target text through a second bullet screen recognition model, wherein the second bullet screen recognition model is obtained by training based on a second training sample comprising a second training text and a corresponding strong labeling result; and determining a target identification result of the target bullet screen according to the first identification result and the second identification result. The method can achieve a good bad bullet screen identification effect, and reduce the model training cost.

Description

technical field [0001] The present application relates to the technical field of artificial intelligence (AI), and in particular to a data processing method, device, device, and storage medium. Background technique [0002] Nowadays, many online video playback platforms have the barrage function, which supports users to edit and send their comment content on the currently playing video during the process of watching the video, that is, the barrage, and the user watching the video can see other users accordingly The barrage sent. In practical applications, the barrage sent by users varies from good to bad, often mixed with indecent content, boring content, and content that disgusts other users. This type of barrage is also called in the industry. Bad bullet chat: In order to improve the user's video viewing experience, some online video playback platforms will identify whether the bullet chat sent by the user is bad bullet chat, and filter the bad bullet chat, and do not dis...

AI Technical Summary

Problems solved by technology

In order to obtain a better effect of bad bullet chatting recognition through this method and avoid the occurrence of missed recognition and misidentification, it is often necessary to use a large number of labeled samples to train the bad bullet chatting recognition model, which will consume a high labeling cost, namely Model training costs are high

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