Basic Search Engine is built using Python.
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A versatile information retrieval tool implementing a Boolean retrieval model and Vector Space model. Perform precise phrase queries, rank documents by similarity scores between the documents and the query, and gain insights from processed text data collection
Assignments completed for CP423: Text Retrieval and Search Engines. Collaborated with Abigail Lee and Myisha Chaudhry
Implementing a small search engine using tf-idf and positional indexing.
Implementation of Document Indexing as part of COMP34711: NLP
Information Retrieval project codes.
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Information Retrieval Lab
Vision Search Engine is a sophisticated and versatile search engine designed to provide highly accurate and efficient search capabilities. Leveraging a suite of advanced algorithms and techniques, this project is equipped to handle a wide array of search functionalities, ensuring precise and relevant results.
Advance information retrieval system that combines advanced indexing, machine learning, and personalized search to enhance academic research and document discovery.
Search Engine for Text Document Retrieval
In this project we construct phrase query retrieval using 20_newsgropus dataset
Positional and Biword index with search
IR system utilizing Positional Inverted Index (PII) for efficient document indexing and retrieval, developed as an academic project
Assignment 1 of Information Retrieval Course
Created various Information Retrival Algorithms from scratch in python
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