Abstract: A method for keyword extraction, an apparatus, an electronic device, and a computer-readable storage medium, which relate to the field of artificial intelligence are provided. The method includes collecting feature information corresponding to an image to be processed, the feature information including text representation information and image visual information and then extracting keywords from the image to be processed based on the feature information. The text representation information includes text content and text visual information corresponding to each text line in the image to be processed. The method for keyword extraction, apparatus, electronic device, and computer-readable storage medium provided in the embodiments of the disclosure may extract the keywords from an image to be processed.

Abstract: A data processing method, a device wake-up method, an electronic device, and a storage medium are provided. In the data processing method, speech to be processed is converted into a keyword phone sequence, and a similar pronunciation sequence generator acquires a similar phone sequence corresponding to the keyword phone sequence in a sequence generation manner, thereby acquiring a first data processed result corresponding to the speech to be processed. By replacing the search method of large-scale speech databases with this generation manner, effective coverage of possible real-life sounds can be achieved with a smaller model, thus improving the ability to distinguish confusing pronunciations. The above data processing method performed by the electronic device can be performed by an artificial intelligence (AI) model.

Abstract: A text classification method includes acquiring a text to be classified, obtaining a feature representation of the text to be classified by performing feature extraction on the text to be classified, acquiring a tuple set of each current text class, the tuple set of each text class comprising a prototype of each respective text class and a distribution density of text data of each respective text class, and obtaining a text class of the text to be classified by classifying the text to be classified based on the feature representation of the text to be classified and the tuple set.

Abstract: The application provides a device control method, a conflict processing method, a corresponding apparatus, and an electronic device. The method includes: acquiring an input instruction of user; acquiring at least one of the following information: user information, environmental information, device information; determining at least one execution device of the input instruction based on the acquired information and the input instruction; controlling the at least one execution device to perform a corresponding operation. The present application can determine at least one optimal execution device by using at least one of the obtained input instruction and the user information, the environment information, and the device information when the user does not specify the specific execution device, thereby better responding to the user.

Abstract: A method for keyword extraction, an apparatus, an electronic device, and a computer-readable storage medium, which relate to the field of artificial intelligence are provided. The method includes collecting feature information corresponding to an image to be processed, the feature information including text representation information and image visual information and then extracting keywords from the image to be processed based on the feature information. The text representation information includes text content and text visual information corresponding to each text line in the image to be processed. The method for keyword extraction, apparatus, electronic device, and computer-readable storage medium provided in the embodiments of the disclosure may extract the keywords from an image to be processed.