Wnaffect multilingual

emotion-wnaffect-polylingual/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:
+
+- anger : general-dislike
+- fear : negative-fear
+- disgust : shame
+- joy : gratitude, affective, enthusiasm, love, joy, liking
+- sadness : ingrattitude, daze, humlity, compassion, despair, anxiety, sadness
+
+## Usage
+
+The parameters accepted are:
+
+- Language: English (en).
+- Input: Text to analyse.
+
+Example request: 
+```
+http://senpy.cluster.gsi.dit.upm.es/api/?algo=emotion-wnaffect&language=en&input=I%20love%20Madrid
+```
+
+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. 
+
+
+The response of this plugin uses [Onyx ontology](https://www.gsi.dit.upm.es/ontologies/onyx/) developed at GSI UPM for semantic web.
+
+This plugin uses WNAffect labels for emotion analysis.
+
+The emotion-wnaffect.senpy file can be copied and modified to use different versions of wnaffect with the same python code.
+
+
+## Known issues
+
+-  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.
+
+![alt GSI Logo][logoGSI]
+
+[logoGSI]: http://www.gsi.dit.upm.es/images/stories/logos/gsi.png "GSI Logo"