Hate Speech Detection on Indonesian Instagram Comments using FastText Approach

2018 International Conference on Advanced Computer Science and Information Systems (ICACSIS) Pub Date : 2018-10-01 DOI:10.1109/ICACSIS.2018.8618182

Nur Indah Pratiwi, I. Budi, Ika Alfina

引用次数: 18

Abstract

Instagram is one of social media hype, potentially used to spread hatred. The objective of our study is to conduct hate speech detection on Instagram comments for Indonesian language. We used FastText as the classifier and word representation. The experiment results showed that FastText is better than Random Forest Decision Tree and Logistic Regression. The highest result achieved when FastText is combined with bigram feature with F-measure of 65.7%.

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使用FastText方法检测印度尼西亚Instagram评论中的仇恨言论

Instagram是一种社交媒体炒作，可能被用来传播仇恨。我们研究的目的是对印度尼西亚语的Instagram评论进行仇恨言论检测。我们使用FastText作为分类器和单词表示。实验结果表明，FastText算法优于随机森林决策树和逻辑回归算法。当FastText与双字特征结合使用时，f值达到65.7%，达到了最高的效果。

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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2018 International Conference on Advanced Computer Science and Information Systems (ICACSIS)

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