Artificial Intelligence and Machine Learning has made deep inroads in our day to day work already. As obvious as automated chatbots to as subtle as grocery suggestions. There is a constantly increasing demand for developers who are equipped with these skills. However, there is also a growing myth that AI/ML has a huge learning curve and not everyone can get into it. This session wants to break this myth and would introduce the nuances of Natural Language Processing to those who want to begin their journey on AI/ML career path.
This session makes use of Python libraries to demonstrate certain aspects of NLP in action.
In this session, a few elements of NLP that will be explored are Tokenisation, Part Of Speech Tagging and Classification. We will try to understand their need based on the use cases they help solve or simplify. Followed by a brief demonstration using Python snippets.