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git-subtree-dir: emotion-anew git-subtree-split: e8a3c837e3543a5f5f19086e1fcaa34b22be639e
61 lines
2.3 KiB
Markdown
Executable File
61 lines
2.3 KiB
Markdown
Executable File
# Plugin emotion-anew
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This plugin consists on an **emotion classifier** that detects six possible emotions:
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- Anger : general-dislike.
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- Fear : negative-fear.
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- Disgust : shame.
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- Joy : gratitude, affective, enthusiasm, love, joy, liking.
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- Sadness : ingrattitude, daze, humlity, compassion, despair, anxiety, sadness.
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- Neutral: not detected a particulary emotion.
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The plugin uses **ANEW lexicon** dictionary to calculate VAD (valence-arousal-dominance) of the sentence and determinate which emotion is closer to this value. To do this comparision, it is defined that each emotion has a centroid, calculated according to this article: http://www.aclweb.org/anthology/W10-0208.
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The plugin is going to look for the words in the sentence that appear in the ANEW dictionary and calculate the average VAD score for the sentence. Once this score is calculated, it is going to seek the emotion that is closest to this value.
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The response of this plugin uses [Onyx ontology](https://www.gsi.dit.upm.es/ontologies/onyx/) developed at GSI UPM, to express the information.
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## Installation
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* Download
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```
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git clone https://lab.cluster.gsi.dit.upm.es/senpy/emotion-anew.git
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```
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* Get data
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```
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cd emotion-anew
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git submodule update --init --recursive
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```
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* Run
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```
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docker run -p 5000:5000 -v $PWD:/plugins gsiupm/senpy:python2.7 -f /plugins
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```
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## Data format
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`data/Corpus/affective-isear.tsv` contains data from ISEAR Databank: http://emotion-research.net/toolbox/toolboxdatabase.2006-10-13.2581092615
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##Usage
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Params accepted:
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- Language: English (en) and Spanish (es).
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- Input: input text to analyse.
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Example request:
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```
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http://senpy.cluster.gsi.dit.upm.es/api/?algo=emotion-anew&language=en&input=I%20love%20Madrid
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```
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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.
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# Known issues
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- To obtain Anew dictionary you can download from here: <https://github.com/hcorona/SMC2015/blob/master/resources/ANEW2010All.txt>
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- This plugin only supports **Python2**
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![alt GSI Logo][logoGSI]
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[logoES]: https://www.gsi.dit.upm.es/ontologies/onyx/img/eurosentiment_logo.png "EuroSentiment logo"
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[logoGSI]: http://www.gsi.dit.upm.es/images/stories/logos/gsi.png "GSI Logo"
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