Workshop 4: Harnessing Text Analytics for User-Generated Content Analysis

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Workshop Overview:

Social media has become a central platform for communication, public discourse, and information exchange. With the growing volume of user-generated content, there is increasing academic and practical interest in analyzing social media text to understand trends, sentiments, behaviors, and opinions. This workshop is designed to provide university students and researchers with a comprehensive introduction to the field of social media text analysis.

Participants will explore the core concepts and analytical frameworks that underpin the study of textual data from social platforms. The session will cover methods for collecting and preparing social media data, techniques for text mining and classification, and practical applications such as sentiment analysis and topic modeling. In addition, participants will gain exposure to real-world use cases across academic and industry contexts, helping them understand how text analysis can inform research, policy, and decision-making.

Through a combination of lectures and hands-on exercises, attendees will develop practical skills in working with social media data using current tools and methodologies. The workshop aims to equip participants with the foundational knowledge and technical competence needed to carry out their own text analysis projects.

This workshop will serve as an introductory exploration of the process involved in detecting text analysis on social media platforms. It is particularly suited for university students and researchers engaged in related fields.

 

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