Text Classification Based on Machine Learning: Quantifying the Sentiment of Online Reviews
by Shreya Subramaniam
Abstract – Machine learning technologies and AI make per-forming crucial tasks much more efficient, which betters people’s lives. Examples of this can be seen in every aspect of our lives in our day-to-day interactions with technology such as facial recognition in smartphones and complex alarm systems to keep houses safe. All such programs improve the efficiency and accuracy of important tasks through data collection. Nowadays, machine learning and AI has proved to be incredibly useful when gathering large amounts of data that would otherwise require immense amounts of human effort. It can be applied in a variety of ways, but one especially lucrative application of such technology is in the field of advertising and market research. Large companies require information about their consumers and target demographic to better their products and services. This study aims to use sentiment analysis techniques, such as Naive Bayes, to determine the way customers feel about corporations.