Abstract: A text sentiment analysis method based on multi-level graph pooling includes steps of: preprocessing a target text; taking collocate point mutual information between word nodes as an edge weight between the word nodes, and building a graph for each text independently; constructing a multi-level graph pooling model, of which a gated graph neural network layer transfers low-level information, a first graph self-attention pooling layer performs an initial graph pooling operation and uses a Readout function to extract low-level features, a second graph self-attention pooling layer performs a graph pooling operation again, performs a pruning update on the graph structure by calculating attention scores of nodes in the graph and uses a Readout function to extract high-level features; obtaining a multi-level final vector representation through a feature fusion function; and selecting a sentiment category corresponding to a maximum probability value as a final sentiment category output of the text.

Abstract: A text sentiment analysis method based on multi-level graph pooling includes steps of: preprocessing a target text; taking collocate point mutual information between word nodes as an edge weight between the word nodes, and building a graph for each text independently; constructing a multi-level graph pooling model, of which a gated graph neural network layer transfers low-level information, a first graph self-attention pooling layer performs an initial graph pooling operation and uses a Readout function to extract low-level features, a second graph self-attention pooling layer performs a graph pooling operation again, performs a pruning update on the graph structure by calculating attention scores of nodes in the graph and uses a Readout function to extract high-level features; obtaining a multi-level final vector representation through a feature fusion function; and selecting a sentiment category corresponding to a maximum probability value as a final sentiment category output of the text.

Abstract: Disclosed are a video studio creating method and a service device. The method includes: receiving a live video application-based live video request instruction sent by a client, in which the live video request instruction includes user information; acquiring live channel information associated with the user information; acquiring a live channel configuration parameter set corresponding to the live channel information, and creating a video studio according to the live channel configuration parameter set; and outputting an interactive interface of the video studio to the client.

Abstract: Disclosed are a video studio creating method and a service device. The method includes: receiving a live video application-based live video request instruction sent by a client, in which the live video request instruction includes user information; acquiring live channel information associated with the user information; acquiring a live channel configuration parameter set corresponding to the live channel information, and creating a video studio according to the live channel configuration parameter set; and outputting an interactive interface of the video studio to the client.

Abstract: A particle-removing wafer is disclosed which is suitable for removing particles from a wafer support surface such as a wafer chuck used to support semiconductor wafers during the testing of IC devices on the wafers, for example. The particle-removing wafer includes a support body on which is provided a particle-adherent layer having a particle-adherent surface to which particles adhere when the particle-adherent surface is placed into contact with the particles. Consequently, upon subsequent placement of a production wafer on the wafer chuck, particles which may otherwise induce cracking of the wafer are no longer present on the chuck.

Abstract: A method and apparatus for unclosing and enclosing the flaps of a package carton, so that cartons can be transported along the transportation path without shifting backward or shifting away from the transportation path.