“Corporate sentiment analysis is a field in which there is limited public research available. Effective research in this subsection of the sentiment analysis field would help provide a more robust understanding of the field and how users interact online. This study evaluated the efficacy of sentiment analysis using Twitter data containing corporate hashtags. Following the data extraction both a manual classification and an automated one, conducted using the coding language R and the Naive Bayes classifier, were conducted to determine the discrepancy in efficacy between the two. The manual analysis proved more effective and accurate in determining sentiment as well as correcting for spam and irrelevant data. The study, as one of the first of its kind, provides a new avenue of research in sentiment analysis and could encourage researchers to engage with the topic.”