Text Analysis Using Logistic Regression

Abstract— Text analysis is the evaluation and categorization of a person's feelings and beliefs based on the text being studied. Text classification and machine learning are essential for sentiment analysis. That implies that we can infer or categorise people's opinions from their comments. Several machine learning techniques,such as naive Bayes, support vector machines, logistic regression, and K-nearest neighbours, are used to analyse text in this work. We suggest a few text categorization frameworks, and applying these methods on the provided datasets, we analyse the information. The experimental findings have demonstrated that our suggestions can perform better, particularly the logistic regression model, which can produce more accurate predictions.