Sentiment analysis on mobile reviews by using machine learning models
Ameya Parkar, Rajni Bhalla · 2023
Since the past few years, lot of people express their opinions online. A lot of people then express their views on different websites. They express about the food they eat, mobile phones they purchase and so on. Sentiment analysis is gathering a lot of attention nowadays as a lot of online data is gathered through blogs, ecommerce websites, product reviews, etc. This data is extracted by companies to judge if their products are having positive or negative outlook. We are doing sentiment analysis on reviews of mobile phones using different machine learning classifiers. We used machine learning techniques like logistic regression, decision tree classifier, gradient boosting, AdaBoost, bagging classifier, support vector machine amongst others. Logistic regression gave the best accuracy with 91.57% and F-score of 94.77%.