Data di Pubblicazione:
2017
Abstract:
T4SA is intended for training and testing image sentiment analysis approaches. It contains little less than a million tweets, corresponding to about 1.5M images. We initially collected about 3.4M tweets corresponding to about 4M images. We classified the sentiment polarity of the texts (as described in Section 4) and we selected the tweets having the most confident textual sentiment predictions to build our Twitter for Sentiment Analysis (T4SA) dataset.
The dataset is publicly available at: http://www.t4sa.it/
Tipologia CRIS:
05.10 Dataset
Keywords:
social media; sentiment analysis; image analysis; image sentiment analysis; deep learning; multimedia sentiment analysis; dataset; tweets
Elenco autori:
Cimino, Andrea; Carrara, Fabio; Tesconi, Maurizio; Falchi, Fabrizio; Dell'Orletta, Felice; Cresci, Stefano; Vadicamo, Lucia
Link alla scheda completa: