Vector space index based search engine that's available as a HTTP service or as an embedded library.

Neural Vector Space Models

Topic modeling web application

a contextual search engine for software packages built on import2vec embeddings (https://www.code-compass.com)

Tunable full text search engine in JavaScript that: (1) works natively on web apps like Express.js; (2) easy to customize (via BM25) to specific types of documents (e.g. tweets, scientifc journals); (3) is deployable on either the client-side or the server side.

Me working on "CS276: Information Retrieval and Web Search"

Simple search engine with python 3

My solutions to the assignments in the NLP Specialization offered by DeepLearning.AI on Coursera.

UArizona DataLab Workshops

NLP in python Vector Space Modelling and document classification NLP

Distributional Formal Semantics (DFS) tools

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

Implementation of a Vector Space Retrieval Model using TF-IDF and cosine similarity on the Cranfield document corpus

Vector Space Model implementation in Go

Correlated Occurrence Analogue to Lexical Semantics (COALS)

Retrieves the top 10 documents from the Wikipedia corpus for a user inputted free-text query

Search Engine Implemented in Python. Components : Web Crawler. Indexer. Parser. Page Ranking Algorithm

A Concurrent Search Engine built with Go

An implementation of the Vector Space model in GoLang

Data Visualizations