The bid is 20k+freelancer tax, and 8 days.
Approach
I've gone through the attachments. First, weer prepare a mutually beneficial project proposal. We divide it into 3 parts, with their own delivery, feedback and revision, and milestone payments, to track the progress regularly.
1) Use the base papers to build a project proposal for using Naïve Bayes, as the primary focus of the work
NOTE: I congratulate you on selecting this because up to 5 years ago, this was the best in such machine learning applications where sequence data is used. In many cases, still where data is less, instead of deep learning, traditional methods work better.
2) Divide the above proposal into 2 or 3 parts, and begin the work
Deliverables
We can use tools like MATLAB or Python. It shall include .m files properly commented, syntaxes and help file for the same. Of course, we shall include confusion matrices, performance scores too.
I shall also help you with report, if you will be needing. And, in understanding the work, that I recommend.
About me
Just a research assistant in machine learning applications to multidisciplinary data analysis, mainly NLP and recommender systems.
Kindly message me if you're interested, anytime. I shall revert back ASAP, if not online.
Thanks!