The article is showing inner workings of Multinomial Naive Bayes algorithm that is used for chatbot. You can find also links to articles that are covering some others algorithms.
Here you will learn anatomy of chatbot and different approaches used to build chatbots. Also machine learning techniques such as TF-IDF, Cosine Similarity is covered to show how to implement chatbot with python
NLP model that can assist customer support agents by suggesting previously-asked, similar questions. Universal sentence encoder (USE) from tfhub is used.
Tutorial how to build a simple chatbot using attention, RNN, python and TensorFlow
The post is showing how to build chatbot using machine learning techniques such as Elasticsearch (basically TF-IDF) , Doc2Vec .
Tutorial how to build RASA Chatbot that can detect user intent and respond to user. Very comprehensive guide.
The author explained how to build chatbot using nltk.chat.util: Chat. This is a class that has all the logic that can be used by the chatbot.
Creating a dialogue chat bot, which is able to: Answer programming-related questions (using StackOverflow dataset) Chit-Chat and simulate dialogue on all non-programming related questions
Series on creating a chatbot with the RASA stack as a newbie