A specialized toolkit for Information Retrieval and Web Analytics. This rep covers the architecture of search engines, featuring custom implementations of inverted and positional indexing, Boolean retrieval, and text preprocessing pipelines. It includes N-grams analysis, cosine similarity foundations, and advanced NLP tokenization techniques.

A positional index which retrieves documents based on words and phrases

An information retrieval system for boolean queries, proximity quries and wildcard queries using Inverted indexing, Biword indexing, positional indexing and soundex indexing.

Boolean Retrival Model with, inverted index and positional index

Information Retrieval Assignment 2

This is a basic search engine written in Python for ranking documents based on the proximity of query terms, featuring an indexing and ranked retrieval system for textual data.

🔍 Build efficient search engines and text processing systems with advanced indexing and NLP techniques in this comprehensive IRWA Labs repository.