Natural language processing (NLP) is one of the most important technologies of the information age.Human language can be ambiguous which is because it is related in terms difficult for a machine to fathom otherwise. Here is when NLP comes in. It breaks down the structure and extracts the relevant information.
Summarization and keyword tagging are just the first steps of the ladder where NLP can help in finding a certain entity or word in a document.
In this course, you will be given a detailed overview of NLP and how to use classic machine learning methods. You will learn about Statistical Machine Translation as well as Deep Semantic Similarity Models (DSSM) and their applications. The ultimate objective of NLP is to read, decipher, understand, and make sense of the human languages in a manner that is valuable. Text mining, analysis, chat bot development are some of the examples of this technique.