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公开(公告)号：US20220101009A1
公开(公告)日：2022-03-31
申请号：US17206967
申请日：2021-03-19
Inventor： Wenjun ZHANG , Qiang HUANG , Jun FANG , Xu PAN , Yuncong LI , Zhe YANG , Saiding HONG
Abstract: A public opinion acquisition method and device, a word viscosity model training method and device, a server, and a medium are provided in the present disclosure. And the present disclosure relates to the technical field of artificial intelligence, specifically to image recognition and natural language processing, which can be used in a cloud platform. A video public opinion acquisition method includes: receiving a public opinion acquisition request, the public opinion acquisition request including a public opinion keyword to be acquired; matching the public opinion keyword to be acquired with video data including a recognition result, wherein the recognition result is obtained by performing predefined content recognition on the video data, the predefined content recognition including text recognition and image recognition; and determining video data that matches with the public opinion keyword to be acquired as result video data.
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公开(公告)号：US20220004928A1
公开(公告)日：2022-01-06
申请号：US17476770
申请日：2021-09-16
Inventor： Chenhui LIU , Huiqiang ZHONG , Qiang HUANG , Siqi XU , Houqian ZHOU
Abstract: A method for incrementally training a model is provided. The method includes: obtaining a first soft tag of each raw sample in a raw sample set based on a basic target model trained using the raw sample set; selecting a plurality of raw samples from the raw sample set as first samples based on the first soft tag of each raw sample; obtaining second samples and a second soft tag of each second sample; determining the first samples, the respective first soft tags, the second samples and the respective second soft tags as training samples; and generating a final target model by inputting the training samples into the basic target model for model training.
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