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#				 SFU DICTIONARIES (ENGLISH AND SPANISH)
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Dictionaries for the Semantic Orientation CALculator
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Version 1.11 (June, 2009)
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SO Calculator is an application for calculating the Semantic Orientation of text documents. It was designed with the domain of online product reviews in mind. The enclosed files are the dictionaries developed for the project.

License
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SO-CAL (Semantic Orientation CALculator)
Copyright (C) 2009-2011 Maite Taboada, Julian Brooke, Kimberly Voll, Caroline
Anthony and Jack Grieve

This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.

This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
GNU General Public License for more details.

You should have received a copy of the GNU General Public License
along with this program.  If not, see <http://www.gnu.org/licenses/>.


Dictionaries
------------
The dictionaries are divided by part of speech. For a detailed description of how they
were created, please see the project page:

http://www.sfu.ca/~mtaboada/research/nserc-project.html

and especially this publication:

Taboada, M., J. Brooke, M. Tofiloski, K. Voll and M. Stede (2011) Lexicon-Based Methods for Sentiment Analysis. Computational Linguistics 37 (2): 267-307. 


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#					MALTPARSER
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Copyright (c) 2007-2014 Johan Hall, Jens Nilsson and Joakim Nivre

All rights reserved.

Redistribution and use in source and binary forms, with or without 
modification, are permitted provided that the following conditions are met:

    * Redistributions of source code must retain the above copyright 
      notice, this list of conditions and the following disclaimer.
    * Redistributions in binary form must reproduce the above copyright 
      notice, this list of conditions and the following disclaimer in
      the documentation and/or other materials provided with the distribution.
    * Neither the name of MaltParser nor the names of its contributors may be 
      used to endorse or promote products derived from this software without 
      specific prior written permission.

THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR
CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.




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#				STANFORD CORE NLP
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Stanford CoreNLP is licensed under the GNU General Public License (v3 or later; in general Stanford NLP code is GPL v2+, but CoreNLP uses several Apache-licensed libraries, and so the composite is v3+). Note that the license is the full GPL, which allows many free uses, but not its use in proprietary software which is distributed to others. For distributors of proprietary software, commercial licensing is available from Stanford. You can contact us at java-nlp-support@lists.stanford.edu. If you don’t need a commercial license, but would like to support maintenance of these tools, we welcome gift funding: use this form and write “Stanford NLP Group open source software” in the Special Instructions.

If you’re just running the CoreNLP pipeline, please cite this CoreNLP demo paper:

    Manning, Christopher D., Mihai Surdeanu, John Bauer, Jenny Finkel, Steven J. Bethard, and David McClosky. 2014. The Stanford CoreNLP Natural Language Processing Toolkit In Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics: System Demonstrations, pp. 55-60. [pdf] [bib]