SemEval-2016 Arabic Twitter Lexicon
Version 1.0
12 April 2016
Copyright (C) 2016 National Research Council Canada (NRC)
Contact: Saif Mohammad (saif.mohammad@nrc-cnrc.gc.ca)


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Terms of use
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1. This lexicon can be used freely for research purposes. 
2. The papers listed below provide details of the creation and use of the lexicon. If you use a lexicon, then please cite the associated papers.
3. If interested in commercial use of the lexicon, send email to the contact. 
4. If you use the lexicon in a product or application, then please credit the authors and NRC appropriately. Also, if you send us an email, we will be thrilled to know about how you have used the lexicon.
5. National Research Council Canada (NRC) disclaims any responsibility for the use of the lexicon and does not provide technical support. However, the contact listed above will be happy to respond to queries and clarifications.
6. Rather than redistributing the data, please direct interested parties to this page:
   http://www.saifmohammad.com/WebPages/SCL.html


Please feel free to send us an email:
- with feedback regarding the lexicon; 
- with information on how you have used the lexicon;
- if interested in having us analyze your data for sentiment, emotion, and other affectual information;
- if interested in a collaborative research project.


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General Description
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SemEval-2016 Arabic Twitter Lexicon is a list of single words and simple two-word negated expressions and their associations with positive and negative sentiment. The terms are drawn from Arabic Twitter and include both standard and dialectal Arabic, Romanized words, misspellings, hashtags, and other categories frequently used in Twitter. The negated expressions are in the form of 'negator w', where 'negator' is a negation trigger from a list of 16 common Arabic negation words. The complete list of the negation triggers is included into this distribution.

The sentiment associations were obtained manually through crowdsourcing using the Best-Worst Scaling annotation technique.


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SemEval-2016
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This lexicon was used in SemEval-2016 shared task on Determining Sentiment Intensity of English and Arabic Phrases (Task 7) -- Arabic Twitter Set (http://alt.qcri.org/semeval2016/task7/). The sentiment association scores were converted into the range 0..1 for the SemEval competition. 



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File Format
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The file is in UTF8 encoding. Each line in the file has the following format:

<sentiment score><tab><term>

where
<sentiment score> is a real number between -1 and 1 indicating the degree of association of the term with positive sentiment;
<term> is a single word or a multi-word phrase.

There are 1,366 terms: 1,168 single words and 198 phrases.


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More Information
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Details on the process of creating the lexicon can be found in:

Svetlana Kiritchenko, Saif M. Mohammad and Mohammad Salameh (2016) SemEval-2016 Task 7: Determining Sentiment Intensity of English and Arabic Phrases. Proceedings of the International Workshop on Semantic Evaluation (SemEval-2016), San Diego, California, 2016.




