ChatterBot

Chatterbot is a machine learning and conversational dialog engine. Chatterbot enables easy generation of automated responses to the use’s input. In order to generate different types of responses, Chatterbot employs use of machine learning algorithms therefore enabling developers automate conversations and create chat bots for users in an easy way. Chatterbot is language independent.

The language independent design, enables Chatterbox speak any natural language. Due to Chatterbot’s machine language nature a human agent or developer is also able to improve its knowledge level. This improves Chatterbot’s level of relaying possible responses when it interacts with other sources of informative data as well as humans. Chatterbot works by first creating a Python library.

This is an instance where the Chatterbot is untrained. The Python library is essential as it easily enables creation of software that can engage in user’s conversation. The library will be the location where Chatterbot will be saving a text from a statement once it is entered and when a statement is delivered as a response to the user.

The level of accuracy of responses by the Chatterbot increases when more input text is fed to the Chatterbot. The input statement will be processed by two logic adapters. The Chatterbot then later selects a matching response to the closest matching statement that matches the input.

The response submitted from the Chatterbot will be from the selection of known responses related to the statement. Also the returned response from the logic adapters is chosen based on the confidence value level based on the matching response.