Study On Technologies Of "Cloud Computing+IOT"-driven Semantic Recognition Of Emotional Psychology

Self-regulatory system is using speech technology to get the user’s information,independent of a needs treatment, generate receipts, self-control-related functions andmake specific feedback needs. Self-regulatory, namely smart here, is setting therelevant semantic analysis centers on the system to accurately analyze the results andthe mechanism, complete problems and analysis to adapt the results to optimizeprocessing. Through the actual platform, which is based on the regulation ofautonomous positioning system with real-time and intelligence.It can effectivelycomplete agile and accurate semantics identification, match rules and make theplatform execution.In this paper, I design and implement a cell phone self-regulatory system which isbased on cloud service. The main work includes: system requirements analysis,including the basic requirements of the system, the system operating environment, thesystem development environment, system design and database design and the designof cloud services; the design and implementation of the cloud services clients,including user registration/login module, lexical analysis module, the design andimplementation of semantic analysis module, emotional semantic analysis module andthe memory module; the design and implementation of systems for mobile terminals,including the realization of the import terminal block model, action scripting,cross-platform and the main pages.In addition to the basic functions of the phone on voice recognition such asdialing and recording, the innovation is achieved emotion recognition. Based on theinformation of voice the user supplied, the system analyze its emotionalcharacteristics, depending on the features to give users a different emotional feedback,the function of the phone system has been further improved.Through the applicationof cloud computing, the time performance of the system has been improved.