my project in hybridizing naïve Bayes classifiers (baseline + multinomial + Bernoulli + semi supervised ) to be one classifier one algorithm for twitter sentiment analysis. but the last freelancer said we can not hybridize MN+BN, so he did (baseline + mnb + ssnb) and (baseline + bnb + ssnb)
my first question, can we hybridize (baseline naïve bayes + multinomial naïve bayes + Bernoulli naïve bayes + semisupervised naïve bayes ) to be one classifier one algorithm with high classification accuracy using two features are (time and location from twitter)
if your answer is yes, so can you do it?.......... if your answer no, I should explain what I need from you to update my available program now
I've good working knowledge of Naives Bayes algorithms in specific and machine learning classification algorithms in general. Please discuss details over chat to start off.
Relevant Skills and Experience
Machine Learning, Software Development, Python, Scipy
Proposed Milestones
$200 USD - Machine Learning task
Kindly discuss details over chat.
Greetings sir, i am an expert freelancer for this job and your 100% satisfaction is assured if you allow me to serve.
Relevant Skills and Experience
Greetings sir, i am an expert freelancer for this job and your 100% satisfaction is assured if you allow me to serve.
Proposed Milestones
$180 USD - Algorithm project