In the past few months, chatbots have made headlines and have become a much-required interface for communication. In this talk, we will discuss three aspects of chatbots:
As the amount of Unstructured Linguistic Data is increasing each day, it is becoming important to develop tools to analyze this data automatically. In this tutorial we will talk about the basics of linguistic data analytics and then build up to come more complicated pieces of NLP. We will start with basic linguistic techniques - such as Lemmatization, Part of Speech Tagging, Parsing etc, and write some code to implement some these using NLTK. Next, we will talk about how probabilities and statistics are used with Linguistic Data Processing to develop Language Models, and finally we will talk about more complicated techniques such as Deep Learning. In particular we will talk about Word2Vec, its strengths, its weaknesses and how to use it.
Dr. Rutu Mulkar-Mehta speaks at 1h 22mins: