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# "text mining (classification

Hello all,

I read many tutorials about text mining (TM) including tutorials about TM using RM.

most of these tutorials uses support vector machine (SVM) and Naive-Bayes (NB) as classification methods. I conclude they are the best Algorithm for text classification.

do you recommend me to use these algorithm or there are other suitable algorithms for text classification. (I am looking for Algorithms that implemented in RM)

If SVM and NB are the best one, any references about that will be appreciated.

I also appreciate any recommendation of RM clustering algorithms for text.

Thanks in advance,

--

Motaz K. Saad

I read many tutorials about text mining (TM) including tutorials about TM using RM.

most of these tutorials uses support vector machine (SVM) and Naive-Bayes (NB) as classification methods. I conclude they are the best Algorithm for text classification.

do you recommend me to use these algorithm or there are other suitable algorithms for text classification. (I am looking for Algorithms that implemented in RM)

If SVM and NB are the best one, any references about that will be appreciated.

I also appreciate any recommendation of RM clustering algorithms for text.

Thanks in advance,

--

Motaz K. Saad

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## Answers

2,531UnicornI would suggest any clustering algorithm supporting the Cosine Similarity. And as always KMeans is worth a try.

Greetings,

Sebastian

28Contributor IIHave you done anything on Text Classification?

I need help there...

42MavenYou can take a look at http://sites.google.com/site/motazsite/publications

you can find there conclusions on Arabic text classification and conclusions text classification in general.

Regards,

Motaz

7Contributor II1,869UnicornBest, Marius

7Contributor II