dyneth02/IRWA-Labs
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.
This toolkit helps you understand and build the core logic behind search engines and text analysis systems. It takes raw text documents and converts them into organized, searchable indexes that can support complex queries and phrase searching. This is ideal for anyone learning or working with information retrieval, text mining, or web analytics, such as data scientists, research assistants, or NLP engineers.
Use this if you need to deeply understand how search engines process text, create inverted and positional indexes, and perform Boolean and phrase-based document retrieval.
Not ideal if you're looking for a ready-to-use search engine application or a high-level library for general text analysis without needing to understand the underlying implementation.
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Jupyter Notebook
License
MIT
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Last pushed
Dec 26, 2025
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