This is the Linux app named fastText whose latest release can be downloaded as v0.9.2.zip. It can be run online in the free hosting provider OnWorks for workstations.
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fastText
DESCRIPTION
FastText is an open-source, free, lightweight library that allows users to learn text representations and text classifiers. It works on standard, generic hardware. Models can later be reduced in size to even fit on mobile devices. ext classification is a core problem to many applications, like spam detection, sentiment analysis or smart replies. In this tutorial, we describe how to build a text classifier with the fastText tool. The goal of text classification is to assign documents (such as emails, posts, text messages, product reviews, etc...) to one or multiple categories. Such categories can be review scores, spam v.s. non-spam, or the language in which the document was typed. Nowadays, the dominant approach to build such classifiers is machine learning, that is learning classification rules from examples. In order to build such classifiers, we need labeled data, which consists of documents and their corresponding categories (or tags, or labels).
Features
- Learn text representations and text classifiers
- Provides a number of pre-trained models to be downloaded
- Works on standard, generic hardware
- Helps with word representation learning and text classification
- It can be used to train supervised text classifiers for sentiment analysis
Programming Language
C++, JavaScript
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/fasttext.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
