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algorithm problem in my thesis!!
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hi guys!
I'm having my thesis right now.. And Im working on my study which is called "SMS-based spam filter".... I dont know if this is really feasible, but im still researching..
But I'm having problems if what algorithm should i use.. I read about Markovian, Willow, and Correlator algorithms... I think Markovian (w/c uses statistical Bayesian approach) is more efficient... But I need some opinion what tools should i use to implement this(like tokenizer???, or language modeler????). And i need advice on what algorithm is suited for implementing this... as I continue to research!!!
-HERTZ-
I'm having my thesis right now.. And Im working on my study which is called "SMS-based spam filter".... I dont know if this is really feasible, but im still researching..
But I'm having problems if what algorithm should i use.. I read about Markovian, Willow, and Correlator algorithms... I think Markovian (w/c uses statistical Bayesian approach) is more efficient... But I need some opinion what tools should i use to implement this(like tokenizer???, or language modeler????). And i need advice on what algorithm is suited for implementing this... as I continue to research!!!
-HERTZ-
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