Deploy in 115+ regions with the modern database for every enterprise.
MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
Start Free
Fully Managed MySQL, PostgreSQL, and SQL Server
Automatic backups, patching, replication, and failover. Focus on your app, not your database.
Cloud SQL handles your database ops end to end, so you can focus on your app.
TF-IDF.jar is a Java Archive file to measure TF-IDF of each document
in a document collection (corpus).
The jar can be used to
(a) get all the terms in the corpus
(b) get the document frequency (DF) and inverse document frequency (IDF) of
all the terms in the corpus
(c) get the TF-IDF of each document in the corpus
(d) get each term with their frequency (no. of presence), term frequency (TF) and TF-IDF in every document
Generator for textual models by applying different techniques
This is a project created and supported by:
Angel Castellanos
Juan Cigarrán Recuero
Ana García Serrano
This projects allows the modelling of textual contents by applying different techniques:
TF-IDF
KLD
Mutual Information
Chi^2
With this application the users can be able to extract the most representative terminology of a textual collection.
The application is Java-based, allowing their execution in several platforms and operative systems (Windows, Linux, MacOS).