[scikit-learn] Probability estimation

[ajay sahu]

Thanks for making such a brilliant scikit learn code , i have some doubts
for a project , can you all tell me how to achieve that using scikit learn
or any of your methods ..

PROBLEM STATEMENT - i am trying to create a probability tool for creating
scores of importance eg (9/10, 8/10 or 6/10 ) depending on the degree of
importance ,from a book text corpus , i am trying to calculate the
probability of certain topic coming in the exam using previous year
question papers . i have around 10 yrs of question papers comprising of 300
question in total from the same syllabus . but books are different . since
the questions are not straight forward , i am unable to do this

WHAT HAVE I TRIED - i tried using topic modelling and LDA method in it ,but
it gives only important topics or words from a text corpus . i was able to
generate important topics from text , using GENSIM library but it couldn't
solve my problem of matching and comparing it with the questions from the
previous years question papers as some times questions were indirect or
twisted .

WHAT I AM HOPING - i am hoping is there a way scikit learn library can help
me with understanding the indirect questions or twisted questions to
generate a topic which may help in matching it with the topics in book
corpus from the same syllabus thus generating a probability of topics
occuring in the exam using previous years question papers .

Looking forward for your help , any kind of help in solving this particular
problem statement would be of great help to us

Thanks


-- 
- *Regards*

   Ajay
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mail.python.org/pipermail/scikit-learn/attachments/20180420/e7de7e1e/attachment.html>