Skip to Main Content (Press Enter)

Logo CNR
  • ×
  • Home
  • People
  • Outputs
  • Organizations
  • Expertise & Skills

UNI-FIND
Logo CNR

|

UNI-FIND

cnr.it
  • ×
  • Home
  • People
  • Outputs
  • Organizations
  • Expertise & Skills
  1. Outputs

T4SA: Twitter for Sentiment Analysis

Other Research Product
Publication Date:
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/
Iris type:
05.10 Dataset
Keywords:
social media; sentiment analysis; image analysis; image sentiment analysis; deep learning; multimedia sentiment analysis; dataset; tweets
List of contributors:
Cimino, Andrea; Carrara, Fabio; Tesconi, Maurizio; Falchi, Fabrizio; Dell'Orletta, Felice; Cresci, Stefano; Vadicamo, Lucia
Authors of the University:
CARRARA FABIO
CRESCI STEFANO
DELL'ORLETTA FELICE
FALCHI FABRIZIO
TESCONI MAURIZIO
VADICAMO LUCIA
Handle:
https://iris.cnr.it/handle/20.500.14243/411838
  • Overview

Overview

URL

http://www.t4sa.it/
  • Use of cookies

Powered by VIVO | Designed by Cineca | 26.5.0.0 | Sorgente dati: PREPROD (Ribaltamento disabilitato)