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Updated anew and wnaffect README explaining how to obtain resources

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militarpancho 2017-05-05 10:57:16 +02:00
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emotion-anew/README.md
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# Plugin emotion-anew
This plugin consists on an **emotion classifier** that detects six possible emotions:
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```
Example respond: This plugin follows the standard for the senpy plugin response. For more information, please visit [senpy documentation](http://senpy.readthedocs.io). Specifically, NIF API section.
# Known issues
To obtain Anew dictionary you can download from here: [](https://github.com/hcorona/SMC2015/blob/master/resources/ANEW2010All.txt).
![alt GSI Logo][logoGSI]
[logoES]: https://www.gsi.dit.upm.es/ontologies/onyx/img/eurosentiment_logo.png "EuroSentiment logo"

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emotion-wnaffect/README.md
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# WordNet-Affect plugin
This plugin uses WordNet-Affect (http://wndomains.fbk.eu/wnaffect.html) to calculate the percentage of each emotion. The plugin classifies among five diferent emotions: anger, fear, disgust, joy and sadness. It is has been used a emotion mapping enlarge the emotions:
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- This plugin uses the pattern library, which means it will only run on python 2.7
- Wnaffect and corpora files are not included in the repository, but can be easily added either to the docker image (using a volume) or in a new docker image.
You can download Wordnet 1.6 here: [](http://wordnetcode.princeton.edu/1.6/wn16.unix.tar.gz) and extract the dict folder.
The hierarchy and synsets files can be found here: [](https://github.com/larsmans/wordnet-domains-sentiwords/tree/master/wn-domains/wn-affect-1.1)
![alt GSI Logo][logoGSI]
[logoGSI]: http://www.gsi.dit.upm.es/images/stories/logos/gsi.png "GSI Logo"