The SATI Mobile application enables to perform Sentiment Analysis and Emotion Detection on Twitter™.
The SATI Mobile application relies on the SATI API (http://talc2.loria.fr/empathic/). The SATI API enables to perform Sentiment Analysis from Textual Information. It is accessed through HTTP GET requests. The format of requests is: http://talc2.loria.fr/empathic?QUERY, where QUERY is formatted as parameter/value pairs separated by the & character. For instance http://talc2.loria.fr/empathic?text=I+love+apples&type=emotion will perform the analysis of the sentence "I love apples" using the best emotion engine and return the value "joy". The available parameters are described on this page. All parameters name and values are case independent with the exception of the text parameter whose value is case dependent. All parameters have a default value which is used if the parameter is not provided or if its value is invalid.
The SATI Mobile application uses the "twetter=true" parameter, so all Sentiment Analysis and Emotion Detection are directly performed on Twitter™. Tweets are analyzed on a real-time base.
The SATI API and the SATI Mobile application have been developed in the framework of the European ITEA 3 "Empathic Products" project (https://itea3.org/project/empathic.html).
Icons used in the Emotion Detection section designed by Rokey (http://www.iconarchive.com/show/popo-emotions-icons-by-rokey.1.html).
Authors: Alexandre Denis ([email protected]) and Samuel Cruz-Lara ([email protected]).
(c) 2014. LORIA (UMR 7503) / University of Lorraine, France.