Intelligent Systems for IoE Based Smart Cities

Smart Cities Emergence with Artificial Intelligence- Natural Language Processing

Author(s): Sandeep Kumar*, Arun Solanki and Anand Paul

Pp: 120-143 (24)

DOI: 10.2174/9789815124965123010008

* (Excluding Mailing and Handling)


In this digital world integrating smart city concepts, a smart city is a technically advanced metropolitan region that collects data using various electronic technologies, voice recognition methods, and sensor devices. It would not be wrong to say that this smart city is based on the Internet of things (IoT) and artificial intelligence (AI). The IoT and AI are closely related. IoT systems generate big data, and data is at the heart of AI and machine learning. Simultaneously, as the number of linked devices and sensors expands, the importance of smart technologies is also growing faster in this domain. These technologies enable contextual understanding and allow smart devices to solve our problems. Today, the applications of computational intelligence in IoT products and smart devices used in smart cities vary. AI can be leveraged to drive efficiency and improve human living quality for the smart cities of tomorrow. NLP gives the powers to AI tools that recognize and respond in natural Language. This chapter focused on a definite area of AI called Natural Language Processing, which helps and enhances human living in smart cities. There are many use cases where this AI technology makes sense for smart cities. Computerized healthcare services assist policymakers in implementing smart cities in becoming brighter, using opinion mining and permission to remodel a house. These use cases are achieved and discuss various applications, scopes, techniques, advantages, disadvantages, and future scope of NLP of AI in Smart Cities. 

Keywords: Deep neural network, Internet of things, NLP pipeline, Natural language processing, Smart cities, Text mining, Text summarization.

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