AI-Mini-Project
- Created a file named as "code.py" to implement the question classifier.
- Train the model by using supervised classification. Identify question and statement by using dialogue act tagging implemented by making use of nps chat corpus in nltk .
- The corresponding outputs of classifer are stored into "Question Analysis.xls" and labeled all the outputs as 1 or 0 in the text file called "output.txt".
- Then, tested and compared the Linear SVM, LR, NB and some other models to get the highest accuracy.