Build a Chatbot in Python- Have you wondered how a computer-based application solves your query in seconds when you contact a customer support executive? A map-based application in your mobile tells you which direction to reach your destination safely even when you are not aware of the routes? Who are they and how do they manage to get your query resolved? Well! a simple answer is ‘they are chatbots’ and in this article, we will talk about AI Chatbot in Python (using NLTK): How to build a chatbot? Follow these 8 simple steps on how to build your own Chatbot in Python.
Text Classification is a technique using which we organize or group text with some labels or categories. It is also known as Text Tagging. For example, “I am feeling very happy and energetic today”. According to Sentiment Analysis/ Text Classification, we can classify it as ‘Positive’. We use various Machine Learning algorithms/ Deep Learning techniques along with Natural language Processing (NLP) to organize text data. This article will discuss how a pre-trained Machine Learning model can classify a given text SMS as Spam or Ham. The Text Classification Model is based on the Multinomial Naive Bayes Algorithm. The complete code is written in Python Programming Language.