Wireless Sensor Networks and Internet of Things for E-Services Applied Natural Language Processing and Deep Learning

Abstract

Introduction:The internet of things integration with wireless sensor networks can monitor and record the physical conditions of the environment and forward the collected data to a central location. Natural language processing provides a human-data relationship (H2DR) that deep learning uses to train models of artificial neural networks representing human thoughts.Objective: To present methods on how remote systems collect data and semantically analyze and determine a situation. www.videleaf.com Method and Material: Natural language processing applied deep learning on content extraction and evaluation was examined to showcase the strength of e-services based on WSNs and IoTs. Results:Based on WSNs and IoTs on e-services, a score of 3.61 out of 5 grades was recorded. Conclusion:The study concluded that WSNs and IoTs applied NLP and DL are the best network technologies for E-services to achieve, content awareness, context extraction, summarization, and security standards.