Introduction

The study of natural language processing is called NLP. It is about the application of computers on different language nuances and building real-world applications using NLP techniques. NLP is analogous to teaching a language to a child. The most common tasks, such as understanding words and sentences, forming grammatically and structurally correct sentences are natural to humans. In NLP, some of these tasks translate to tokenization, chunking, parts of speech tagging, parsing, machine translation and speech recognition and these are tough challenges for computers.

Currently, NLP is one of the rarest skill sets that is required in the industry. With the advent of big data, the major challenge is that there is a need for people who are good with not just structured, but also with semi or unstructured data. Petabytes of weblogs, tweets, Facebook feeds, chats, e-mails and reviews are generated continuously. Companies are collecting all these different kinds of data for better...