Finally I’ve implemented a Naive Bayes Classifier for Sentiment analysis and
works quite good, but I’ve few questions.
The training phase creates a .bin file that is the model of the classifier,
I’ve tried to read but I can’t.
What does the .bin file represent?
I’m asking this because I’d like
Hi Filipponi,
This case testnb will not work. As in the end part of it code its takes
label to print the confusion matrix.
if you want to use your Model to predict what are the possible out come,
you have to use the class "TestNaiveBayesDriver.java" to write that.
and comment this section /*if (
I appreciate your help, but for my lack of knowledge I didn’t understand.
I’ll try to explain better my problem :D
What I’ve done is to create a sequence File starting from csv like this ( is
italian tweet :D ):
negativo,471685156584292353, @beppe_grillo intanto .. Piangi tu ... Per adesso
io
Hi
The sequence file format will be Text and Vector Writable.
suppose you have test document named as 1,2,3,4.
The you can have sequence file format as Key : /test/1 Value :
/test/2 Value :
this line in BayesTestMapper
//the key is the expected value
context.write(new Text(SLASH.split(key.t
I am using mahout 0.9, which part of source code should I look?
My problem is that I don’t know how to the sequence file without the label
should be structured.
Do you have any hint?
Il giorno 29/lug/2014, alle ore 15:24, vaibhav srivastava
ha scritto:
> Hi,
> If you want to create a test se
Hi,
If you want to create a test set and if you do not want to measure accuracy.
Then you can make an instance of claasifier and load your model on that
classifier and then can find the best score.
Look at navie bayes test code.
Hope this help. Thanks .
On 29 Jul 2014 12:53, "Luca Filipponi" wrot
Hi , I am trying to develop sentiment analysis on italian tweet from twitter
using the naive bayes classifier, but I’ve some trouble.
My idea was to classify a lot of tweet as positive, negative or neautral, and
using that as training set for the Classifier. To do that I’ve wrote a sequence
fil
