"Natural" is a general natural language facility for nodejs. Tokenizing,
stemming, classification, phonetics, tf-idf, WordNet, string similarity,
and some inflections are currently supported.
It's still in the early stages, so we're very interested in bug reports, contributions and the like.
Note that many algorithms from Rob Ellis's node-nltools are being merged into this project and will be maintained from here onward.
While most of the algorithms are English-specific, contributors have implemented support for other languages. Thanks to Polyakov Vladimir, Russian stemming has been added! Thanks to David Przybilla, Spanish stemming has been added! Thanks to even more contributors, stemming and tokenizing in more languages have been added.
Aside from this README, the only documentation is this DZone article, this free course on Egghead.io, and here on my blog, which is a bit older.
natural alternatives and similar libraries
Based on the "Machine Learning" category.
Alternatively, view natural alternatives based on common mentions on social networks and blogs.
deeplearn.js7.8 0.0 natural VS deeplearn.jsA hardware-accelerated machine intelligence library for the web.
Synaptic.js7.1 0.0 L2 natural VS Synaptic.jsarchitecture-free neural network library for node.js and the browser
Keras.js6.3 0.0 natural VS Keras.jsRun Keras models in the browser, with GPU support using WebGL
WebDNN4.4 0.0 natural VS WebDNNThe Fastest DNN Running Framework on Web Browser
Limdu.js3.5 0.0 L4 natural VS Limdu.jsMachine-learning for Node.js
DN2A2.5 0.0 L5 natural VS DN2ADynamic Neural Networks Architect (DN2A)
Synapses1.1 0.0 natural VS SynapsesA group of neural-network libraries for functional and mainstream languages
ml5.jsFriendly Machine Learning for the Web.
Appwrite - The Open Source Firebase alternative introduces iOS support
* Code Quality Rankings and insights are calculated and provided by Lumnify.
They vary from L1 to L5 with "L5" being the highest.
Do you think we are missing an alternative of natural or a related project?
"Natural" is a general natural language facility for nodejs. It offers a broad range of functionalities for natural language processing. Documentation can be found here on Github Pages.
Copyright (c) 2011, 2012 Chris Umbel, Rob Ellis, Russell Mull
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
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This license is available as the file LICENSE in any downloaded version of WordNet. WordNet 3.0 license: (Download)
WordNet Release 3.0 This software and database is being provided to you, the LICENSEE, by Princeton University under the following license. By obtaining, using and/or copying this software and database, you agree that you have read, understood, and will comply with these terms and conditions.: Permission to use, copy, modify and distribute this software and database and its documentation for any purpose and without fee or royalty is hereby granted, provided that you agree to comply with the following copyright notice and statements, including the disclaimer, and that the same appear on ALL copies of the software, database and documentation, including modifications that you make for internal use or for distribution. WordNet 3.0 Copyright 2006 by Princeton University. All rights reserved. THIS SOFTWARE AND DATABASE IS PROVIDED "AS IS" AND PRINCETON UNIVERSITY MAKES NO REPRESENTATIONS OR WARRANTIES, EXPRESS OR IMPLIED. BY WAY OF EXAMPLE, BUT NOT LIMITATION, PRINCETON UNIVERSITY MAKES NO REPRESENTATIONS OR WARRANTIES OF MERCHANT- ABILITY OR FITNESS FOR ANY PARTICULAR PURPOSE OR THAT THE USE OF THE LICENSED SOFTWARE, DATABASE OR DOCUMENTATION WILL NOT INFRINGE ANY THIRD PARTY PATENTS, COPYRIGHTS, TRADEMARKS OR OTHER RIGHTS. The name of Princeton University or Princeton may not be used in advertising or publicity pertaining to distribution of the software and/or database. Title to copyright in this software, database and any associated documentation shall at all times remain with Princeton University and LICENSEE agrees to preserve same.
*Note that all licence references and agreements mentioned in the natural README section above are relevant to that project's source code only.