A web application allows to access the Twitter dataset developed for the SENTIPOLC (SENTIment POLarity Classification) shared task, organised within Evalita 2014, the fourth evaluation campaign of Natural Language Processing and Speech tools for Italian. The texts in the dataset are annotated with information on the presence of subjectivity, sentiment polarity and irony. In order to address privacy concerns and in compliance with Twitter’s terms, rather than releasing the original tweet’s text, we are providing a web interface based on the use of RESTful Web API technology to download the text: http://www.di.unito.it/~tutreeb/sentipolc-evalita14/tweet.html

Evalita 2014: Sentipolc Twitter dataset

BASILE, Valerio;BOSCO, CRISTINA;PATTI, Viviana;RABELLINO, Sergio
2014-01-01

Abstract

A web application allows to access the Twitter dataset developed for the SENTIPOLC (SENTIment POLarity Classification) shared task, organised within Evalita 2014, the fourth evaluation campaign of Natural Language Processing and Speech tools for Italian. The texts in the dataset are annotated with information on the presence of subjectivity, sentiment polarity and irony. In order to address privacy concerns and in compliance with Twitter’s terms, rather than releasing the original tweet’s text, we are providing a web interface based on the use of RESTful Web API technology to download the text: http://www.di.unito.it/~tutreeb/sentipolc-evalita14/tweet.html
2014
1.0
Dipartimento di Informatica, Università degli Studi di Torino
http://www.di.unito.it/~tutreeb/ sentipolc-evalita14/tweet.html
sentiment analysis; Italian; twitter; sentiment corpus
Basile, V.; Bolioli, A.; Bosco, C.; Nissim, M.; Patti, V.; Rosso, P.; Rabellino, S.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/1508400
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