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Attitudes Toward Feminism in Ukraine: A Sentiment Analysis of Tweets

机译:对乌克兰女权主义的态度:推文的情感分析

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This paper presents a sentiment analysis of Ukrainian tweets on feminism. In order to carry out a computational study of opinions, we have adjusted the SentiStrength algorithm to the Ukrainian language by replacing the English term lists in the program files with the Ukrainian ones. The main contribution is an attempt to compile a social domain sentiment lexicon for Ukrainian (3,736 words). The SentiStength output has shown a prevailing negative sentiment of the analyzed tweets. The program performance was evaluated in terms of accuracy, precision, recall, error, fallout and F1 Score. In addition, we found a number of common attributes of a feminist, which also predominantly express negative attitude. Overall, the findings show that a direct support of a key feminist goal, i.e. equality of women and men in society, by the Ukrainian Tweeter users couples with misconception about the concept of feminism and unwillingness to be called a feminist.
机译:本文提出了对女权主义的乌克兰推文的情感分析。为了执行对意见的计算研究,我们通过用乌克兰人替换程序文件中的英文术语列表将Sentistrength算法调整为乌克兰语。主要贡献是尝试编制乌克兰语(3,736字)的社交领域情绪词典。 SentStength输出显示了分析的推文的主要负面情绪。在准确性,精度,召回,错误,辐射和F1分数方面评估了程序性能。此外,我们发现了一些女权主义的常见属性,这也主要表达了负面的态度。总体而言,调查结果表明,直接支持关键的女性主义目标,即社会妇女和男子的平等,由乌克兰高音扬声器用户对女权主义和不愿意被称为女权主义者的误解。

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