METHOD FOR TRAINING TEXT CLASSIFICATION MODEL, ELECTRONIC DEVICE AND STORAGE MEDIUM

A method for training a text classification model and an electronic device are provided. The method may include: acquiring a set of to-be-trained images, the set of to-be-trained images including at least one sample image; determining predicted position information and predicted attribute informatio...

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Bibliographische Detailangaben
Hauptverfasser: LYU, Pengyuan, ZHANG, Chengquan, QIAO, Meina, YAO, Kun, FAN, Sen, LIU, Shanshan, WU, Liang
Format: Patent
Sprache:eng
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Zusammenfassung:A method for training a text classification model and an electronic device are provided. The method may include: acquiring a set of to-be-trained images, the set of to-be-trained images including at least one sample image; determining predicted position information and predicted attribute information of each text line in each sample image based on each sample image; and training to obtain the text classification model, based on the annotation position information and the annotation attribute information of each text line in each sample image, and the predicted position information and the predicted attribute information of each text line in each sample image, and the text classification model is used to detect attribute information of each text line in an to-be-recognized image.