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senpy/sentiment-vader
2018-06-12 10:01:44 +02:00
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README.md Merge commit '4a0b6c1bf4ec7213ad2b5538eb737a27dc28faa8' as 'sentiment-vader' 2018-06-12 10:01:44 +02:00
README.txt Merge commit '4a0b6c1bf4ec7213ad2b5538eb737a27dc28faa8' as 'sentiment-vader' 2018-06-12 10:01:44 +02:00
sentiment-vader.py Merge commit '4a0b6c1bf4ec7213ad2b5538eb737a27dc28faa8' as 'sentiment-vader' 2018-06-12 10:01:44 +02:00
sentiment-vader.senpy Merge commit '4a0b6c1bf4ec7213ad2b5538eb737a27dc28faa8' as 'sentiment-vader' 2018-06-12 10:01:44 +02:00
test.py Merge commit '4a0b6c1bf4ec7213ad2b5538eb737a27dc28faa8' as 'sentiment-vader' 2018-06-12 10:01:44 +02:00
vader_sentiment_lexicon.txt Merge commit '4a0b6c1bf4ec7213ad2b5538eb737a27dc28faa8' as 'sentiment-vader' 2018-06-12 10:01:44 +02:00
vaderSentiment.py Merge commit '4a0b6c1bf4ec7213ad2b5538eb737a27dc28faa8' as 'sentiment-vader' 2018-06-12 10:01:44 +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.

This plugin supports python3

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