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mirror of https://github.com/gsi-upm/senpy synced 2024-12-22 13:08:13 +00:00
senpy/sentiment-vader
2017-05-08 17:57:07 +02:00
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README.md Added emotion-anew and sentiment-vader 2017-05-04 11:49:57 +02:00
README.txt Added emotion-anew and sentiment-vader 2017-05-04 11:49:57 +02:00
sentiment-vader.py Added emotion-anew and sentiment-vader 2017-05-04 11:49:57 +02:00
sentiment-vader.senpy Fixed vader tab error 2017-05-08 17:57:07 +02:00
test.py Added emotion-anew and sentiment-vader 2017-05-04 11:49:57 +02:00
vader_sentiment_lexicon.txt Added emotion-anew and sentiment-vader 2017-05-04 11:49:57 +02:00
vaderSentiment.py Added emotion-anew and sentiment-vader 2017-05-04 11:49:57 +02:00

Sentimet-vader plugin

=========

Vader is a plugin developed at GSI UPM for sentiment analysis.

For developing this plugin, it has been used the module vaderSentiment, which is described in the paper: VADER: A Parsimonious Rule-based Model for Sentiment Analysis of Social Media Text C.J. Hutto and Eric Gilbert Eighth International Conference on Weblogs and Social Media (ICWSM-14). Ann Arbor, MI, June 2014.

If you use this plugin in your research, please cite the above paper.

For more information about the functionality, check the official repository

https://github.com/cjhutto/vaderSentiment

The response of this plugin uses Marl ontology developed at GSI UPM for semantic web.

Usage

Params accepted:

  • Language: es (Spanish), en(English).
  • Input: Text to analyse.

Example request:

http://senpy.cluster.gsi.dit.upm.es/api/?algo=sentiment-vader&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. Specifically, NIF API section.

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