Métodos Analíticos para Redes Sociais

Objectives

Social media's rapid growth has given mass consumers a powerful tool to create knowledge and propagate opinions. Simultaneously, social media has created an unprecedented opportunity for organizations to engage in real-time interactions with consumers. In addition, the size and richness of social media data have provided organizations with an unusually deep reservoir of consumer insights to transform business and marketing operations.

The Social Media Analytics course will use a multidisciplinary approach that combines data mining, text mining, and image mining to help students grasp the analytics tools to leverage social media data. Students will be introduced to and apply tools such as data collection, sentiment analysis, topic modeling, and large language models.

Participation Requirements

Familiarity with the main theme of the course is not required. However, it is highly recommended that the students have knowledge of Statistics, Algebra, and Python as well as good skills as computer users.
Students without previous training or experience with Python should complete the three following Datacamp online courses before the third week of this course (first practical class): Introduction to Python, Intermediate Python, and Data Manipulation with Pandas. The instructors will provide information on how to have free access to the Datacamp platform.