Exploring Sentiment Analysis using VADER and RoBERTa for Organizations (A Case Study)
Program: Data Science Master's Degree
Location: Oshkosh, Wisconsin (remote)
Student: Tyler Loest
This case study aims to show companies and organizations the importance and usefulness of sentiment analysis. Nowadays, companies are hiring data scientists who are most likely skilled in Python, which has sentiment analysis capabilities.
This case study has four objectives. The first is to detail the history of sentiment analysis, such as what tools data scientists used in the past. Next would be discussing why sentiment analysis is essential. Furthermore, it demonstrates what data scientists are using today for sentiment analysis. Lastly, explore what sentiment analysis can be like in the future and what technologies are being developed for it.