GenAI: Sentiment Analysis

Issued by University of Texas at San Antonio

During this module, students will learn how to visualize and interpret a wordcloud and compare multiple wordclouds. They will also gain an understanding of sentiment analysis and brand monitoring on social media. The anticipated outcomes include a development of appreciation for marketing research, an understanding of customer complaints management, an interest in social media sentiment analysis, and an interest in R programming.

Type Learning
Level Intermediate
Time Hours
Cost Free

Skills

Earning Criteria

After this lesson, students will be able to: 1) Visualize and interpret a wordcloud 2) Compare multiple wordclouds 3) Perform sentiment analysis 4) Understand brand monitoring of social media
Anticipated Outcomes: 1) Student will develop appreciation for marketing research 2) Students will develop understanding of customer complaints management 3) Students will develop an interest in social media sentiment analysis 4) Student will develop an interest in R programming
To earn your badge, you will need to complete the DS 1001 (Data Science for All) course modules. If you have questions or are interested in additional information, please email rebecca.schroeder@utsa.edu