There are 1 repository under vector-space-model topic.
Vector space index based search engine that's available as a HTTP service or as an embedded library.
a contextual search engine for software packages built on import2vec embeddings (https://www.code-compass.com)
Me working on "CS276: Information Retrieval and Web Search"
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.
UArizona DataLab Workshops
Simple search engine with python 3
My solutions to the assignments in the NLP Specialization offered by DeepLearning.AI on Coursera.
NLP in python Vector Space Modelling and document classification NLP
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
Retrieves the top 10 documents from the Wikipedia corpus for a user inputted free-text query
A Concurrent Search Engine built with Go
Search Engine Implemented in Python. Components : Web Crawler. Indexer. Parser. Page Ranking Algorithm
An implementation of the Vector Space model in GoLang
Information Retrieval with Vector Space Model for News Article
Implementation of Vector Space Model using TF-IDF and Cosine Similarity
Data Visualizations
Stylistic Variations in Distributional Vector Space Models
Implementation of IR Models with GUI, Using Python & Flask for back-end and HTML & CSS for front-end
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 space. Each dimension of a single document vector represents how often this word appears in the text.To compare two documents a cosine similarity is used. This generates a value between 0 and 1, 0 meaning no similarity and 1 meaning perfect match.
📚 Assignments for CS3245: Information Retrieval
Implementation of a search engine using a vector space model.
Finding the most similar textual documents using Case-Based Reasoning
Web search engine to retrieve most relevant web-pages for user search query from web-pages crawled on the UIC domain
The first mini project kind of Data Structure & Algorithm subject. Enjoy it !
Information Retrieval basic Models Implementation
This code describes a mini search engine used for information retrieval from the CACM dataset using Boolean and Vectorial models.