I need an algorithm developed in python (v2.7) for a text classifier. I have a data set of labeled phrases, please check my attachment. What I want is to extract or find some hidden rules and use it to classify untagged phrases.
The input of the algorithm is a phrase and a TAG
The input of the algorithm is a phrase and the output is a TAG, one of the allowed tag is UNKNOW, so is ok if the algorithm is unable to TAG the phrase but is now allowed a FAIL.
My budget is USD 150 but i am very open to pay more if your algorithm works well.
By the way i need the source code commented and I don't want to use third party libraries.
New freelancers are welcome.
12 freelancers are bidding on average $166 for this job
Hi, I have been working for on-board Analytics for a big manufacturing company. I have ample hand-on experience in python real-time projects as well. So, consider me the best resource for the project.