An information retrival system for Persian language.

Performs tokenization, stemming, lemmatization, index creation, index compression and ranked retrieval of Cranfield documents

Implementation of Vector Space Model using TF-IDF and Cosine Similarity

Course Project of Information Retrieval.

SPIMI Ranked Retrieval Implementation and API

This is a project that uses Information Retrieval concepts to develop a Search-as-a-Service Platform

Ranked Information Retrieval: an indexation and ranked retrieval system for textual information.

Wikimedia (enwiki) search engine built on inverted index and tf-idf ranked retrieval

A Simple Vector Space Model implementation for searching (some of) Donald Trump's speeches.

A simple search engine built using Python 3.11 that implements TF-IDF weighting, page ranking, and cosine vector similarity, and utilizes NLTK libraries for tokenization and stemming.

Implementing a search engine using Elastic-Search

Final project of "Information Retrieval Systems" course

An Information retrieval system for Persian news with ranked retrieval of documents according to relevance to the query.

TTDS 2022/23. Course page: https://www.inf.ed.ac.uk/teaching/courses/tts/

An implementation for vector space models used in Information Retrieval for ranked retrieval. Uses TF, IDF, and normalizing on a textual dataset, mostly corpus from novels.

ltc.lnn weighting for computing cosine similarity in python

Foundations of Information Retrieval