Sentiment Analysis Using Supervised Machine Learning
Prasheel N Thakare, Anant Mahajan, Anshuman Ray, Ashish Verma, Shreya Kohad · International journal of advance research and innovative ideas in education · 2020
This paper acquaints a methodology with assumption investigation which utilizes different content standardization methods in Natural Language Processing (NLP) for converting a text into vector and briefly explains the the importance of standardization methods and how they are used in python with the help of its Natural Language Toolkit (NLTK) library. Finally this paper analyzes different algorithms in Supervised Machine Learning with comparison of two Machine Learning models, i.e., Logistic Regression and Naive Bayes for linear classification with the help of a data set.