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The process of building a chatbot can be divided into two main tasks: understanding the user's intent and producing the correct answer.
Interface designers have come to appreciate that humans' readiness to interpret computer output as genuinely conversational—even when it is actually based on rather simple pattern-matching—can be exploited for useful purposes. While ELIZA and PARRY were used exclusively to simulate typed conversation, many chatbots now include functional features such as games and web searching abilities. Chatbot competitions focus on the Turing test or more specific goals.
Some chatterbots use sophisticated natural language processing systems, but many simpler systems scan for keywords within the input, then pull a reply with the most matching keywords, or the most similar wording pattern, from a database.
The term "Chatter Bot" was originally coined by Michael Mauldin (creator of the first Verbot, Julia) in 1994 to describe these conversational programs.
The usage of the chatbot can be monitored in order to spot potential flaws or problems.
It can also provide useful insights that can improve the final user experience These cloud platforms provide Natural Language Processing, Artificial Intelligence and Mobile Backend as a Service for chatbot development.