Chatbots are intelligent conversational computer systems designed to mimic human conversation to enable automated online guidance and support. The increased benefits of chatbots led to their wide adoption by many industries in order to provide virtual assistance to customers. Chatbots utilise methods and algorithms from two Artificial Intelligence domains: Natural Language Processing and Machine Learning. However, there are many challenges and limitations in their application. In this survey we review recent advances on chatbots, where Artificial Intelligence and Natural Language processing are used. We highlight the main challenges and limitations of current work and make recommendations for future research investigation.

Intelligent conversational computer systems, known as chatbots, have always been at the forefront of artificial intelligence. They are made to sound like humans in order for machines to communicate with humans. Because of the rising benefits of chatbots, numerous sectors have adopted them to give virtual support to clients. They are also used as companions and virtual assistants. Natural language processing and deep learning are two artificial intelligence disciplines that are used in chatbots. This chapter will examine current advancements in chatbot algorithms, approaches, and technologies that use artificial intelligence and/or natural language processing.

Chatbots are intelligent conversational computer systems designed to mimic human conversation to enable automated online guidance and support. The increased benefits of chatbots led to their wide adoption by many industries in order to provide virtual assistance to customers. Chatbots utilise methods and algorithms from two Artificial Intelligence domains: Natural Language Processing and Machine Learning. However, there are many challenges and limitations in their application. In this survey we review recent advances on chatbots, where Artificial Intelligence and Natural Language processing are used. We highlight the main challenges and limitations of current work and make recommendations for future research investigation