Implementing an Inverted Index from Scratch in Python (NLTK Tutorial)
Ever wondered how Google Search actually works?
It’s not magic — at its core lies something simple called an **Inverted Index**.
In this video, I implement an Inverted Index completely from scratch in Python using NLTK’s Shakespeare dataset.
We’ll go step by step:
✅ Cleaning text (stopwords + punctuation removal)
✅ Mapping words to document IDs
✅ Building the word-to-document dictionary
✅ Running search queries like "love" or "king"
This is the *foundation of modern search engines* like Google, Lucene, and Elasticsearch.
If you understand this, scaling to millions of documents is the next step.
🔗 Full Code: https://github.com/datageekrj/YouTube...
If you found this helpful, don’t forget to *like 👍, subscribe 🔔, and comment* what you’d like to see next (TF-IDF, Ranking, or ElasticSearch from scratch).
#Python #SearchEngine #InvertedIndex #InformationRetrieval #NLTK