Natural Language Processing, popularly known in its abbreviated form NLP, is a branch of Artificial Intelligence that deals with the interaction between humans and computers using natural language. Its ultimate objective is to meet, understand, and make sense of human language. In this course, we will be discussing one of the popular libraries for textual data preprocessing ie. Textblob will also deep dive into the basics of NLP, like stopwords, lemmatization, why, and how we can clean text data. We will also be discussing the various types of text vectorization. We will also be discussing the functionalities which Textblob provides and will solve one use-case of sentiment Analysis using Textblob and Python. Textblob is a free online course that teaches how to use the Textblob library for natural language processing (NLP) tasks. Textblob is a Python library that provides a simple and intuitive API for common NLP tasks, such as sentiment analysis, part-of-speech tagging, and more. In this course, you will learn how to use Textblob to perform various NLP tasks. The course will cover topics such as text preprocessing, sentiment analysis, part-of-speech tagging, and named entity recognition. Participants will receive step-by-step guidance on how to use Textblob to perform these tasks, making it suitable for beginners and intermediate-level programmers. By the end of the course, participants will have a strong understanding of Textblob and its capabilities and will be able to apply this knowledge to their own NLP projects.  

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