Sentiment Analysis of User Entered Text
Sourav Mehra, Tanupriya Choudhury · 2018 International Conference on Computational Techniques, Electronics and Mechanical Systems (CTEMS) · 2018
In this paper, classification algorithms (SVM and Naïve Bayes) are compared based on their classification accuracies on different datasets. They are then used to classify texts as positive or negative. For training and testing the algorithms, we will use the IMDb Large Movie Review Dataset, which contains 25,000 polar movie reviews each for training and testing and a movie reviews dataset provided by Cornell University containing 1,600 polar reviews each for training and testing.