As the global customer base increases by the day, companies are employing machines to improve their customer experience. By using chatbot ; this is Machine Learning algorithm software that engage online customers/visitors via triggered automated dialogue. View this article for more details.
Chatterbot: Python Chatbot Library
Chatbots are built using chatterbox library. This chatbot tool is nothing but a Python library designed for building automated robot, view this for more information. To this end, Chatterbot uses many automated algorithms to provide users with customized responses to their various requests. The value of chatbots lies in its many user friendliness, ability to continually improve and its customizability. Setting up a chatbot is very easy: what you need to do is to start with creating an inexperienced interlocutor that cannot communicate in advance. Then supplement the library with the needs entered by the user.
The more experienced Chatterbot becomes, the better and accurate it will respond to the user. Python-chatbot work based on similarity and proximity for example the algorithm searches for the most similar answer by finding the questions in the user-generated tool. Once the best answer is found, Chatterbot will choose the perfect answer. This bot allows python developers to automate their systems using their own data.
Chatbot creation using Python Chatterbot
Creating chatbot in python requires: the installation of chatterbot. Note: The Chatterbot is the parent library from which chatbot is imported. Each group of chatbots is associated with a different set of input operators i.e the data from which the bot learn in order to respond to queries. It is important to use pip to install the combination of Chatterbot and Chatterbot-corpus. This is the only way to create your own chatbot in Python. From there, the bot can respond to numerous customers simultaneously so that you can focus on your core business.