Must Know Data Pre-processing Techniques for Natural Language Processing!
Introduction
Data from the internet forms a huge source of information these days. We have an overwhelming amount of data available, which includes text, audio, and videos. Text information forms a major source of information amongst these. Natural language processing includes the task of analyzing, modifying, and deriving conclusions from text data.
These text or speech data are completely unstructured and messy. A great amount of effort is required to process and manipulate these data. Nevertheless thanks to the Natural Language Toolkit(NLTK) written in Python language, which makes these cumbersome tasks a smooth one. It is a Python package used for Natural language processing.
It helps in making a machine understand human language. Major areas where NLP is applied include Sentimental Analysis, Recommendation systems, Autocorrect in search Engines like google, Hiring process by Naukri, Chatbots, Spam detection in Gmail, Text Predictions, etc.
Let us look at the various operations and text analysis