Sentiment Analysis
Hi everyone,
I am quite new to rapidminer and text analysis and I wonder how to find out which words are important for the positiv or the negativ class. Do I really just look at the word vectors? I learned in an rapidminer tutorial that you can use Naive bayes and you get the distribution table.
I do use the sentiment template from rapidminer which uses SVM and replaced it with naive bayes but did not get the distribution table.
I am quite new to rapidminer and text analysis and I wonder how to find out which words are important for the positiv or the negativ class. Do I really just look at the word vectors? I learned in an rapidminer tutorial that you can use Naive bayes and you get the distribution table.
I do use the sentiment template from rapidminer which uses SVM and replaced it with naive bayes but did not get the distribution table.