4 results about "Response effect" patented technology

The invention discloses an airport intelligent service question answering method and system based on AI, relates to the technical field of artificial intelligence, and comprises the steps of performing combined modeling by using a time sequence and a multi-head attention mechanism, extracting key behavior characteristics, fusing intention recognition and behavior prediction, and improving the answer reasoning accuracy. The method comprises the following steps: selecting a semantic knowledge base, constructing deep semantic representation and accurately matching the deep semantic representation with the semantic knowledge base, extracting high-weight phrases in combination with a sliding window mechanism, generating unique semantic fingerprints by utilizing a Karp-Rabin hash function, improving the speed and accuracy of answer matching, and performing fuzzy control and redundant information elimination on candidate answers by adopting a rough set tolerance model. Semantic similarity judgment is carried out according to the intersection and union set proportion between the upper and lower approximate sets, the problems of semantic drift and repeated candidates in traditional matching are effectively relieved, and through reinforcement learning and A / B testing, the question and answer strategy is continuously optimized, and the response effect of the system and the user satisfaction degree are enhanced.

This application provides a training method, intent understanding method, and apparatus for a semantic segmentation model. The method involves concatenating target customer service text from multiple customer service voice recordings and then performing text segmentation based on semantic segmentation points on the resulting long target text. The processed semantic text segments replace the existing customer service texts, and semantic recognition and response processing are then performed to obtain a customer service reply. The customer service reply obtained in this way better matches the user's intent, resulting in a better response effect and a superior user experience.

The application discloses a public opinion response effect measurement method based on theme migration and emotion change recognition. The method takes relevant microblog hot search blog posts and comment information of an event as basic data, performs theme analysis on the microblog text based on an LDA theme model, calculates the emotion value of the comment content according to a Bi-LSTM model, constructs a measurement model of the response effect under a sudden negative public opinion, and evaluates the response effect based on the recognition results of theme migration and emotion change. The application has the advantages of easy practice, scientific index, strong pertinence and the like, can be used for measuring the response effect in a sudden negative public opinion, evaluating the intervention effect on the evolution of the negative public opinion, analyzing the advantages and disadvantages of the response measures, and providing optimization strategies for optimizing the negative public opinion management work.

The invention discloses an emergency demand processing framework. The framework comprises the following steps: S1, determining the type and range of an emergency demand; s2, determining a response strategy according to the type and range of the emergency demand; s3, making a response plan according to the response strategy; s4, executing the response plan according to the response plan; s5, in the response plan execution process, the response effect needs to be continuously monitored, the difference needs to be found out, and a corresponding optimization strategy needs to be formulated. The optimal response time is calculated by obtaining the scheduling load and scheduling delay data information of the service party participating in the emergency demand response, and the user participating in the emergency demand response is selected according to the minimum delay principle; the demand response load shedding operation is realized according to the demand response participation minimum criterion, so that the effect that the user participates in the vpp scheduling service can be effectively improved, the total iteration demand is evaluated in a quantitative mode, the demand effect is continuously tracked and monitored after the demand is online, the gap is found out, and the corresponding optimization strategy is formulated.