{"type":"ScholarlyArticle","title":"RoTuEl: A Semi-Automated Method for Labeling Political Tweets","authors":[{"name":"Wilton de Paula Filho","slug":"wilton-de-paula-filho","given":"Wilton de Paula","family":"Filho","affiliation":""},{"name":"Ana Cristina Bicharra Garcia","slug":"ana-cristina-bicharra-garcia","given":"Ana Cristina Bicharra","family":"Garcia","affiliation":""}],"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.","doi":null,"url":"https://ijcai.org/proceedings/2015/628","pdf":"https://ijcai.org/proceedings/2015/0628.pdf","markdown":"https://ijcai.org/proceedings/2015/628.md","bibtex":"https://ijcai.org/proceedings/2015/bibtex/628","volume":{"slug":"2015","title":"Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2015","url":"https://ijcai.org/proceedings/2015/","year":2015,"location":"Buenos Aires, Argentina","dates":"25–31 July 2015","editors":"Qiang Yang and Michael Wooldridge","isbn":"978-1-57735-738-4","publisher":"International Joint Conferences on Artificial Intelligence","doi_prefix":""},"section":"Doctoral Consortium","track":"Doctoral Consortium","number":628,"pages":{"first":4361,"last":4361},"keywords":[],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}