Sentiment Classification Using N-Gram Inverse Document Frequency and Automated Machine Learning

Abstract

We propose a sentiment classification method with a general machine-learning framework. In comparison to publicly available data sets, our method achieved the highest F1 values in positive and negative sentences on all data sets.