What type of machine learning is used for chatbots?

For developing intelligent chatbots not only a machine learning algorithms are sufficient. We need a combination of both machine learning and advanced NLP (Natural Language Processing).

Machine learning refers to the ability of a system (in this case, the chatbot) to learn from the inputs it experiences. One of the ways they achieve this through natural language processing, or NLP, which refers to any interaction between computers and human language.

Chatbots actually use a process of Artificial Intelligence known as Natural Language Processing. NLP engages with humans and tracks emotions, queries and interactions. This helps the system learn about how humans communicate. The machine learning part comes in when the intelligent machine can apply the knowledge of interaction to other situations and can also learn when it has made a mistake or processed a request in the wrong way.

Intelligent Chatbots = Machine learning + Advanced NLP

But NLP is only a start. To achieve true general artificial intelligence, a chatbot or dialogue system needs to be able to do three main things:

          •  Offer an informative answer

          •  Maintain the context of the dialogue

          •  Be indistinguishable from the human

When it comes to that last requirement, we’re not quite there yet. Even the best of today’s machine learning chatbots can’t be mistaken for a human. But fortunately for brands, (most) humans are still willing to talk with bots as long as they are helpful, funny, or interesting.