Every day, we generate data from emails, online posts such as blogs, social media comments, and more. It is not surprising to say that unstructured text data is much larger in size than the tabular data that exists in the databases of any organization. It is important for organizations to acquire useful insights from the text data pertaining to the organization. Due to the different nature of the text data when compared to data in databases, the methods that need to be employed to understand the text data are different. In this chapter, we will learn a number of key techniques in natural language processing (NLP) that help us to work on text data.
The common definition of NLP is as follows: an area of computer science and artificial intelligence that deals with the interactions between computers and human (natural) languages; in particular...
