文本分类工具
我对学习文本分类感兴趣，所以也有兴趣阅读该理论。下一步是做一些事情，因此我正在寻找不同的工具。一些链接指向 WEKA，但是 Mallet 似乎更适合此任务，但没有人链接到此工具。如果想要从事“严肃”的项目，有什么理由远离 Mallet 吗？我能够使用 Mallet 快速训练一些分类器并测试它们，而使用 WEKA 时，我遇到了一个问题：在使用过滤器转换以其中文本类别命名的地图中的文本文件后，我的标签“消失”。
I am interested in learning about text classification so is reading up on the theory. Next step is doing stuff and therefore I am looking for and at different tools. Some links point to WEKA, however Mallet seems to be a better fit for this task but nobody links to this tool. Are there any reason to stay away from Mallet if wanting to work on a "serious" project ? I was able to quickly train some classifiers with Mallet and test them, whereas with WEKA I run into a problem with my labels "disappearing" after using filters to transform my textfiles in maps named with the category of the texts within it.
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这取决于您正在执行的任务。 Mallet 也是一种常用的工具，Weka 和 Mallet 都有其优缺点。
对于琐碎的任务，两者都很容易使用。我通常更喜欢 Weka 来完成聚类和分类任务。
注意：不要被 Weka 在论坛帖子中的受欢迎程度所误导，这主要是因为它的使用时间较长，而且与 Weka 相比，Mallet 是新的。
It depends on the task you are performing. Mallet is also a popularly used tool and both Weka and Mallet have their pros and cons.
For trivial tasks, both are easy to use. I generaly prefer Weka for clustering and classification tasks.
Note: Do not be misled by popularity of Weka on forum posts, it is primarily to do with it being used for a longer period of time and Mallet is new as compared to Weka.