Thanks Nil for the reply.
I don't understand in details your example.
>
Let me try to define my problem again. It is a classification Problem. I
have group of words that belong to certain categories.
Eg: group of words that belong to category "bakery Products". Another group
of words that belong to "vegetable"
Let me assign, bakery Products- 1
Vegetable- 2
Words code
{cookies, crackers, waffels, rolls} 1
{tortillas, pies, tarts} 1
{potato, carrot, lemon} 2
{turnip, cabbage, mangoes} 2
.
.
. etc
I want to train the above data with MOSES and then when i give certain
words, it should predict the correct code for it.
Sweet potato -?
cakes -?
Then MOSES should predict
Sweet potato -2
cakes -1
i think, it is a linguistic driven prediction model.
I read a paper, in that also words were taken and classified according to
certain categories USING MOSES and it was mentioned that accuracy was 65%.
eg.. Like below:
Words Category
{agitation, extreme, unstable} - suicidal group
{unique, practicing, Neut} - Psychiatric group
{Plasma, neutral, vessel} - Control group.
So my problem also could be solved using MOSES?
Thanks,
Vishnu
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