mirror of https://github.com/gsi-upm/senpy synced 2024-11-24 17:12:29 +00:00

History

J. Fernando Sánchez c52a894017 Merged into monorepo		2018-06-14 19:38:08 +02:00
..
data@7f99680db6	Merge commit '7c959aace896e9d318497a417e0eec8f78b62314' as 'sentiment-basic'	2018-06-12 10:01:45 +02:00
README.md	Merge commit '7c959aace896e9d318497a417e0eec8f78b62314' as 'sentiment-basic'	2018-06-12 10:01:45 +02:00
sentiment-basic.py	Merged into monorepo	2018-06-14 19:38:08 +02:00
sentiment-basic.senpy	Merged into monorepo	2018-06-14 19:38:08 +02:00
sentiwn.py	Merged into monorepo	2018-06-14 19:38:08 +02:00

README.md

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.

This plugin only supports python2