Authors: Mrs. Alpana Meena, Dr. Neelesh Jain
Abstract: Text is categorized using machine learning algorithms based on the sentiment polarity of the text. These machine learning-based approaches approach sentiment classification as a problem akin to document or subject classification. Nevertheless, this method has drawbacks including hard feature extraction, dimensionality expansion, and sparse feature vectors. In this article, we have combined machine learning and deep learning algorithms and proposed ensemble based framework to classify the personality. We have done different experiments with machine learning, deep learning and proposed model and found that our proposed model provided significant average accuracy about 67.452.