US Patent Application 18232098. DATA PROCESSING METHOD AND APPARATUS, COMPUTER DEVICE, AND STORAGE MEDIUM simplified abstract
Contents
DATA PROCESSING METHOD AND APPARATUS, COMPUTER DEVICE, AND STORAGE MEDIUM
Organization Name
Tencent Technology (Shenzhen) Company Limited
Inventor(s)
DATA PROCESSING METHOD AND APPARATUS, COMPUTER DEVICE, AND STORAGE MEDIUM - A simplified explanation of the abstract
This abstract first appeared for US patent application 18232098 titled 'DATA PROCESSING METHOD AND APPARATUS, COMPUTER DEVICE, AND STORAGE MEDIUM
Simplified Explanation
- This patent application describes a method and apparatus for processing data in the field of computers. - The application focuses on extracting features from textual and picture data of an article and using these features to predict the article's classification. - The method takes into account the contribution of both the textual and picture data to the article classification, rather than relying solely on the textual perspective. - The extracted features reflect the interaction between the textual and picture data, providing richer and deeper information for improved accuracy in article classification. - The method also aims to improve the accuracy of identifying high-quality articles.
Original Abstract Submitted
This application discloses a data processing method and apparatus, a computer device, and a non-transitory computer-readable storage medium in the technical field of computers. This application, for textual data and picture data of an article, extracts a textual feature and a picture feature, respectively, and predicts an article classification to which the article belongs using a cross-modal interaction feature between the textual feature and picture feature. At the same time, this application considers the contribution degree of each of a textual modality and a picture modality to the article classification, rather than determining from a textual perspective only. In addition, the extracted cross-modal interaction feature is not a simple concatenation of the textual feature and the picture feature, which can reflect richer and deeper inter-modal interaction information, and greatly improve the identification accuracy of the article classification. Furthermore, it can improve the discovering accuracy of high-quality articles in the scene of identifying high-quality articles.
