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Opinion Classification Techniques Applied to a Spanish Corpus

机译:意见分类技术应用于西班牙语法

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Sentiment analysis is a new challenging task related to Text Mining and Natural Language Processing. Although there are some current works, most of them only focus on English texts. Web pages, information and opinions on the Internet are increasing every day, and English is not the only language used to write them. Other languages like Spanish are increasingly present so we have carried out some experiments over a Spanish film reviews corpus. In this paper we present several experiments using five classification algorithms (SVM, Nave Bayes, BBR, KNN, C4.5). The results obtained are very promising and encourage us to continue investigating in this line.
机译:情感分析是与文本挖掘和自然语言处理有关的新具有挑战性的任务。虽然有一些目前的作品,但其中大多数只关注英文文本。网页,互联网上的信息和意见每天都在增加,英语不是用于编写它们的唯一语言。像西班牙语这样的其他语言越来越多地存在,所以我们通过西班牙电影评论语料库进行了一些实验。在本文中,我们使用五种分类算法(SVM,Nave Bayes,BBR,KNN,C4.5)呈现几个实验。获得的结果非常有前途,并鼓励我们继续在这条线上调查。

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