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mirror of https://github.com/gsi-upm/senpy synced 2024-11-22 08:12:27 +00:00
senpy/sentiment-basic
2017-04-17 13:57:27 +02:00
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README.md Plugins names updated 2017-01-25 18:58:27 +01:00
sentiment-basic.py Fixed sentiment-basic plugin that only retrieved Neutral sentiment. This closes senpy/senpy-plugins-community#6. Also added nltk download for some plugins. 2017-04-17 13:57:27 +02:00
sentiment-basic.senpy Added sufixes dictionary for wordnet lemmatizer. This close #4 2017-03-08 11:37:14 +01:00
sentiwn.py Plugins names updated 2017-01-25 18:58:27 +01:00
SentiWordNet_3.0.txt Plugins names updated 2017-01-25 18:58:27 +01:00
test.py Plugins names updated 2017-01-25 18:58:27 +01:00
unigram_spanish.pickle Plugins names updated 2017-01-25 18:58:27 +01:00

Sentiment basic plugin

This plugin is based on the classifier developed for the TASS 2015 competition. It has been developed for Spanish and English. This is a demo plugin that uses only some features from the TASS 2015 classifier. To use the entirely functional classifier you can use the service in: http://senpy.cluster.gsi.dit.upm.es

There is more information avaliable in:

- Aspect based Sentiment Analysis of Spanish Tweets, Oscar Araque and Ignacio Corcuera-Platas and Constantino Román-Gómez and Carlos A. Iglesias and J. Fernando Sánchez-Rada. http://gsi.dit.upm.es/es/investigacion/publicaciones?view=publication&task=show&id=376

Usage

Params accepted:

  • Language: Spanish (es).
  • Input: text to analyse.

Example request:

http://senpy.cluster.gsi.dit.upm.es/api/?algo=sentiment-basic&language=es&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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