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.

Abstract: A task processing method, a task processing device and an electronic device are provided, which relate to the field of cloud computing technology and big data technology, in particular to the field of task processing technology. The task processing method includes: obtaining a task processing request for a to-be-processed task, the task processing request including processing time information of the to-be-processed task and a service type of the to-be-processed task; in the case that the processing time information of the to-be-processed task meets a triggering condition, writing the to-be-processed task into a corresponding message queue in accordance with the service type of the to-be-processed task, one message queue corresponding to a respective one service type; and processing the to-be-processed task in the message queue, to obtain a task processing result of the to-be-processed task.

Abstract: A method of processing event data, a device, and a medium are provided, which relate to fields of deep learning, natural language processing, cloud services, etc. The method of processing event data includes: determining target feature data corresponding to target event data, in response to receiving a query request containing the target event data; selecting correlated feature data from candidate feature data based on the target feature data, wherein a similarity between the correlated feature data and the target feature data meets a preset similarity condition; determining operation data associated with the correlated feature data, wherein the operation data represents a level of attention to correlated event data corresponding to the correlated feature data; and determining a level of attention to the target event data based on the operation data.

Abstract: A method of determining a location information, an electronic device, and a storage medium, which relate to a field of an artificial intelligence technology, and in particular, to fields of NLP and knowledge graph. The method includes: determining at least one location chain corresponding to a location information in a text to be recognized, wherein each of the at least one location chain includes a plurality of chain nodes cascaded according to a subordination relationship, and each level of chain node represents a current level name corresponding to the location information; and determining, from the at least one location chain, a target location chain having a greatest degree of relevance to the text to be recognized, according to a feature word indicating a location attribute in the text to be recognized.

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.