I have customer feedback data about 2-3 products from 100 customers. Number of questions are around 160. I have data in excel format. Header row contains the question and row below contains the responses from customers. Not all questions have been answered by each customer. I have to categorize the feedback as either positive or negative. The analysis needs to be done in R.
This data contains boolean responses, numerical responses and text responses.
I've collected the data for text responses in a separate sheet and trying to do sentiment analysis using sentiment analysis package and the general text mining package in R.
How to do the sentiment analysis of boolean and numerical responses ?
Also, Can I combine the score from all the above three analysis and can categorize the response as positive or negative overall ?