On Tue, Dec 20, 2011 at 6:59 PM, Ramprakash Ramamoorthy < [email protected]> wrote:
> Dear all, > > I am using Naive Bayes classifier for my sentiment analysis on > customer support. But unfortunately I don't have huge annotated data sets > in the customer support domain. But I have a little amount of annotated > data in the same domain(around 100 positive and 100 negative). And I have > the amazon product review data set as well. > > Is there anyway can I implement a weighted naive bayes > classifier using mahout as mentioned in > this<http://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=5&ved=0CFIQFjAE&url=http%3A%2F%2Fwww.cs.waikato.ac.nz%2F~eibe%2Fpubs%2FUAI_200.pdf&ei=7YvwTprnI8rMrQelmJzWDw&usg=AFQjCNFqWxTYVxqSLTH8ULZvAPqyvDHhXw&sig2=jxLnRoUZhK5OVQ1KCCGj9A>, > so that I can give more weight to the small set of customer support data > and small weight to the amazon product review data. A training on the above > weighted data set would drastically improve accuracy I guess. Kindly help > me with the same. > > > > -- > With Thanks and Regards, > Ramprakash Ramamoorthy, > B.Tech ICT, > SASTRA University. > +91 9626975420 > > Can some one help me with this? -- With Thanks and Regards, Ramprakash Ramamoorthy, B.Tech ICT, SASTRA University. +91 9626975420
