RoTuEl: A Semi-Automated Method for Labeling Political Tweets
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence. Doctoral Consortium. Pages 4361-4361.
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.
@inproceedings{ijcai2015p628,
title = {RoTuEl: A Semi-Automated Method for Labeling Political Tweets},
author = {Filho, Wilton de Paula and Garcia, Ana Cristina Bicharra},
booktitle = {Proceedings of the Twenty-Fourth International Joint Conference on
Artificial Intelligence, {IJCAI-15}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Qiang Yang and Michael Wooldridge},
pages = {4361--4361},
year = {2015},
month = {7},
note = {Doctoral Consortium},
url = {https://ijcai.org/proceedings/2015/628},
}
TY - CPAPER TI - RoTuEl: A Semi-Automated Method for Labeling Political Tweets AU - Filho, Wilton de Paula AU - Garcia, Ana Cristina Bicharra T2 - Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, IJCAI-15 PB - International Joint Conferences on Artificial Intelligence PY - 2015 SP - 4361 EP - 4361 UR - https://ijcai.org/proceedings/2015/628 ER -Copied
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