mirror of
https://github.com/gsi-upm/senpy
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43 lines
1.3 KiB
Markdown
43 lines
1.3 KiB
Markdown
# Sentimet-vader plugin
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Vader is a plugin developed at GSI UPM for sentiment analysis.
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The response of this plugin uses [Marl ontology](https://www.gsi.dit.upm.es/ontologies/marl/) developed at GSI UPM for semantic web.
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## Acknowledgements
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This plugin uses the vaderSentiment module underneath, which is described in the paper:
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VADER: A Parsimonious Rule-based Model for Sentiment Analysis of Social Media Text
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C.J. Hutto and Eric Gilbert
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Eighth International Conference on Weblogs and Social Media (ICWSM-14). Ann Arbor, MI, June 2014.
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If you use this plugin in your research, please cite the above paper.
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For more information about the functionality, check the official repository
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https://github.com/cjhutto/vaderSentiment
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## Usage
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Parameters:
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- Language: es (Spanish), en(English).
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- 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=sentiment-vader&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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This plugin supports **python3**
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![alt GSI Logo][logoGSI]
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[logoGSI]: http://www.gsi.dit.upm.es/images/stories/logos/gsi.png "GSI Logo"
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========
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