We discussed chatbots as one of the important real-world applications of NLP in Chapter 1, Understanding the Basics of NLP. By now, we know enough to create a basic chatbot that could be trained using a predefined corpus and provide responses to queries using similarity concepts. In this section, we will create a chatbot using the concepts of vectorization and cosine similarity.
The most important requirement for building a chatbot is the corpus or text data on which the chatbot will be trained. The corpus should be relevant and exhaustive. If you are building a chatbot for the Human Resources (HR) department of your organization, you would typically need a corpus with all HR policies to train the bot and not a corpus containing presidential speeches. You would also need to ensure that the response time is acceptable and that the bot is not taking an inordinate amount of time to respond. The bot should also ideally seem human-like and have an acceptable accuracy...
