Learning Path

Clean and normalize raw text before any NLP task begins.

Break raw text into meaningful units — words, sentences, or subwords.

Reduce words to their root form by chopping off suffixes.

Reduce words to their valid dictionary base form using linguistic rules.

Assign grammatical roles to each token — noun, verb, adjective, and more.

Convert text into numerical representations using BoW and TF-IDF.

Learn dense word embeddings that capture semantic meaning and relationships.

Build an end-to-end pipeline to classify text using ML models on the IMDB dataset.