Generalized Vector Space Model using Karl Pearson correlation coefficients

Designed a scalable and efficient search engine in Python to query a Wikipedia corpus of ~75GB with a response time of 1s and outputs the top 10 relevant documents based on the search query.

Web Retrieval and Mining 2020Spring

Information Retrieval, Natural Language Processing, Machine Learning

IR and text mining project to calculate candidate's job profile score based on factors such as Education, Discipline, Required Skills, Desired Skills, and Years of Experience. Implemented Inverted Index algorithm for job filtering and Vector Space Model algorithm for ranking the documents (Jobs).

Vector space model for information retrieval

Hello folks! Looking for a fully modular, open source, Pygame 3d-Engine concept? Well this may be a good start. GridMod is capable of visualising self made three dimensional shapes, by groupping nodes, vectors and matrices, and by applying common matrix operations to those vertices we get to display those predefined 3d objects, along with a scal…

Information Retrieval System

implementation of the Distributed Situation-state Space (DSS) model

Documents and queries are represented as vectors. Each dimension corresponds to a separate term. If a term occurs in the document, its value in the vector is non-zero. Several different ways of computing these values, also known as (term) weights, have been developed. One of the best known schemes is tf-idf weighting (see the example below). The…

Class for operations on vectors

This is a Text Similarity Score Generator. It takes in two different texts and compares how similar they are. To calculate the similarity score I am using Vector Space Model. This model creates a vector Space where each dimension represents a single word. Words are taken from all the texts that are considered. One document is a single vector spa…

Implementation of vector space model for retrieving song lyrics from database using TF-IDF scoring mechanism

Using Apache Lucene to index documents in AP89 corpus, perform retrieval on TREC topics and evaluate the performance of retrieval algorithms using different evaluation metrics

Domain specific information retrieval system based on boolean retrieval and vector space models

Search engine based on the vector space model

A framework to analyze, visualize abd predict scientific trends

An R-based guide to sampling Google n-gram data, building historical term-feature matrices & investigating lexical semantic change historically.

Web Crawler with Integrated Query Recommender System based on BERT

Back End Coding for Final Project for "Implementation of Content-Based Filtering on Books Recommendation Application Using Vector Space Model <Case Studi: UMN Library>"