VISTA@UE-SA is a freely available on-line service for the sentiment analysis of short sentences (tweets) in Brazilian Portuguese. This service was developed and is maintained at the University of Evora by the VISTA - Video, Image, Speech, and Text Analysis Group of the Department of Informatics.
The VISTA@UE-SA is based on a machine learning methodology and it used a collection of previously classified Brazilian tweets as a training set.
VISTA@UE-SA was developed by Paulo Quaresma at the VISTA@UE research group.
To use VISTA@UE-SA you must accept the terms of this license.
Presently VISTA@UE-SA can not be downloaded.
The VISTA@UE-SA description and evaluation is not yet published.
However, some of the datasets used to learn the classifier model were published or are available online:
1. A dataset created in 2017 by Henrico Brum, MSc student at University of Sao Paulo - ICMC. Further description of the method is available in the paper "Building a Sentiment Corpus of Tweets in Brazilian Portuguese" (BRUM, H. B. and NUNES, M. G. V., 2018) presented at the 20th Language Resources and Evaluation Conference in Miyazaki, Japan on 2018.
2. A dataset created by Rodrigo Santana, MSc student in Computer Science.
Contact us using the following email address: email@example.com