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Classification of Thai Tweets: Mining Treasures from Tweet Heap

机译:泰国推文的分类:推文堆中的挖掘宝藏

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This paper describes how to classify Thai language tweets. In this study, we collected experimental data from twitter data which have a specific hashtag. Even if tweet data which have the same hashtags, there are many kinds of tweets: suggesting solutions, emotional tweets, news report, and other tweets. When someone would like to get an inspiration and advice, he may get some advice from tweets which are described suggesting solutions. We conducted some experiments for tweet classification using five machine learning algorithm. The experimental results showed that we can obtain good results. Moreover, we compared the results using tweets written in Thai language and the results using tweets written in Japanese.
机译:本文介绍了如何对泰语推文进行分类。在这项研究中,我们从具有特定标签的Twitter数据中收集了实验数据。即使具有相同标签的tweet数据,也存在多种tweet:建议解决方案,情感tweet,新闻报道和其他tweet。当某人想获得灵感和建议时,他可能会从推文中获得一些建议,这些建议被描述为解决方案。我们使用五种机器学习算法对推文分类进行了一些实验。实验结果表明我们可以获得良好的结果。此外,我们比较了使用泰语写的推文和使用日语写的推文的结果。

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