Analyzing the Sentiments Of Filipino Commuters: An Application of Data Science Techniques through the Use of Machine Learning Algorithms

Living in the 21st century, the rise of science and technology has brought upon various developments that help improve the quality of life for all humans. Diverse innovations are slowly being developed into better ideas, thus causing people to think outside the box. Various computer-related techniques are being applied in order to make life easier. This study is an application of data science techniques with regard to analyzing the Twitter sentiments of Filipino commuters. Moreover, this study also determines and compares which data science model obtained the most accurate result with regard to the prediction and analysis of Twitter sentiments. The algorithms used in this study are the Naïve-Bayes, Support Vector Machine, and Deep Learning (Artificial Neural Network) containing English and Filipino language datasets.