Natural Language Processing : From Text to Intelligence

About this course

Every day, businesses generate massive amounts of text—from customer reviews and emails to support tickets, surveys, and social media posts. Natural Language Processing (NLP) enables us to transform this unstructured text into meaningful insights that drive better decisions.

In this beginner-friendly course, you'll learn the core concepts of Natural Language Processing using practical examples and hands-on Python implementation. Rather than diving into complex mathematics, the course focuses on building strong intuition and applying NLP techniques to real-world business problems.

We'll start by understanding what NLP is, why it has become one of the most important areas of Artificial Intelligence, and where it is used in everyday applications. Using relatable examples and popular movies, you'll discover how computers interpret and understand human language.

Next, you'll master the complete NLP pipeline, including text preprocessing techniques such as tokenization, stopword removal, stemming, and lemmatization. You'll then learn how text is converted into numerical features using Bag of Words and TF-IDF.The course also covers two of the most widely used NLP techniques—Part-of-Speech (POS) Tagging and Named Entity Recognition (NER)—to understand sentence structure and identify important entities from text.

Finally, you'll apply everything you've learned by building a customer analytics case study using Python, demonstrating how NLP can uncover business insights from customer reviews.

What you'll learn

Understand the complete NLP workflow

Clean and preprocess text data

Apply stemming, lemmatization, POS tagging, and NERConvert text into machine learning features using Bag of Words and TF-IDF

Build an end-to-end NLP project using Python

Understand practical NLP applications across industries

Whether you're a student, aspiring data scientist, AI enthusiast, analyst, or busin

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