Detecting Topics and Polarity From Twitter: A University Faculty Case

Abstract

Social networks have become a powerful communication tool, with millions of people exchanging information, opinions, and experiences daily. Companies, organizations, and even people have turned this tool into a marketing platform to position themselves and gain popularity. However, not only do companies present products or services to society, but society also provides feedback. This feedback has a significant impact as well. It is impossible to process all this vast information manually in time, but it is crucial. This information is precious even for governmental or state public entities such as universities. Potential future students will use social media to learn about the institution's general feel. Therefore, this study presents a new dataset called CEIMaT2021, which compiles all the tweets in Spanish related to the