UO_4to @ TAG-it 2020: Ensemble of Machine Learning Methods (short paper)

María Fernanda Artigas Herold, Daniel Castro-Castro
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Abstract

This paper describes the proposal presented in the TAG-it author profiling task from EVALITA 2020 for sub-task 1. The main objective is to predict gender and age of some blog users by their posts, as well as topic they wrote about. Our proposal uses an ensemble of machine learning algorithms with three of the most used classifiers and language model of the n-grams of characters represented in a Bag of Word. To face this task we presented two different strategies aimed at finding the best possible results.
TAG-it 2020:机器学习方法集成(短论文)
本文描述了在EVALITA 2020的TAG-it作者分析任务中为子任务1提出的建议。主要目的是通过博客用户的帖子以及他们所写的话题来预测他们的性别和年龄。我们的建议使用了一套机器学习算法,其中包括三种最常用的分类器和一个单词袋中表示的n个字符图的语言模型。为了面对这一任务,我们提出了两种不同的策略,旨在找到可能的最佳结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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