RoTuEl: A Semi-Automated Method for Labeling Political Tweets
Abstract
The latest research on prediction of the outcome of elections using Twitter data, the election tweets labeling area has hardly been explored. Therefore, the authors of this paper propose to develop a semi-automated model for labeling political tweets. The expected result of this study is to contribute to enhance the quality of the choice of messages used in the labeling process by reducing the time selection of messages and the efficiency of classifying the messages and, thus, to increase the accuracy of the models using this approach. The proposed method could label 2200 messages from the analysis of only 60 messages by 20 users. The first results obtained by the method were higher than the process carried out manually by humans.
Cite
Text
de Paula Filho and Garcia. "RoTuEl: A Semi-Automated Method for Labeling Political Tweets." International Joint Conference on Artificial Intelligence, 2015.Markdown
[de Paula Filho and Garcia. "RoTuEl: A Semi-Automated Method for Labeling Political Tweets." International Joint Conference on Artificial Intelligence, 2015.](https://mlanthology.org/ijcai/2015/depaulafilho2015ijcai-rotuel/)BibTeX
@inproceedings{depaulafilho2015ijcai-rotuel,
title = {{RoTuEl: A Semi-Automated Method for Labeling Political Tweets}},
author = {de Paula Filho, Wilton and Garcia, Ana Cristina Bicharra},
booktitle = {International Joint Conference on Artificial Intelligence},
year = {2015},
pages = {4361-4362},
url = {https://mlanthology.org/ijcai/2015/depaulafilho2015ijcai-rotuel/}
}