Student Learning Experience in Synchronous Online Class using Sentiment Analysis

Final Project in Application Development and Emerging Technologies, Feb 2021 – July 2021

The Traditional way of learning or face-to-face classes can develop your knowledge by doing actual activities in school however due to the covid 19 pandemic everyone stays at home but people still need to work and students need to learn so the style of learning shifts to online classes. The researcher wants to know the insights of 3rd-year students of Bachelor of Science in Computer Science in Eulogio “Amang” Rodriguez Institute of Science and Technology about synchronous classes that will serve as our dataset Through sentiment analysis.

Team Members:

Patrick Jan Aristorenas

Gabriel Sarmiento

Jun Rey Cumpa

Christian De Los Santos