{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/duluth-urop-at-semeval-2018-task-2","title":"Duluth UROP at SemEval-2018 Task 2: Multilingual Emoji Prediction with Ensemble Learning and Oversampling","arxiv_id":"1805.10267","date":"2018-05-25","proceeding":"SEMEVAL 2018 6","authors":["Shuning Jin","Ted Pedersen"],"abstract":"This paper describes the Duluth UROP systems that participated in\nSemEval--2018 Task 2, Multilingual Emoji Prediction. We relied on a variety of\nensembles made up of classifiers using Naive Bayes, Logistic Regression, and\nRandom Forests. We used unigram and bigram features and tried to offset the\nskewness of the data through the use of oversampling. Our task evaluation\nresults place us 19th of 48 systems in the English evaluation, and 5th of 21 in\nthe Spanish. After the evaluation we realized that some simple changes to\npreprocessing could significantly improve our results. After making these\nchanges we attained results that would have placed us sixth in the English\nevaluation, and second in the Spanish.","url_abs":"http://arxiv.org/abs/1805.10267v1","url_pdf":"http://arxiv.org/pdf/1805.10267v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"duluth-urop-at-semeval-2018-task-2","repo_url":"https://github.com/shuningjin/SemEval2018-Task2-EmojiDetection","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"ensemble-learning","task_name":"Ensemble Learning"},{"task_slug":"task-2","task_name":"Task 2"},{"task_slug":"regression-1","task_name":"regression"}],"methods":[{"method_slug":"logistic-regression","method_name":"Logistic Regression"}],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}