Tool for text classification

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 classifie开发者_运维技巧rs 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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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.