Workshop 1: Harnessing Text Analytics for User-Generated Content Analysis
Resource Persons:
Senior Lecturer, Dept. of Information Technology, Faculty of IT, University of Moratuwa
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Senior Lecturer, Dept. of Information Technology, Faculty of IT, University of Moratuwa
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Lecturer, Dept. of Computer Science, Faculty of Natural Sciences, Open University of Sri Lanka
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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.
Objectives:
- Introduce foundational concepts in social media text analysis, including key terminology and analytical frameworks.
- Explore real-world applications of social media text analysis in various research and industry contexts.
- Allow the participants to understand the ongoing research related to social media text analysis.
- Develop practical skills through hands-on exercises focused on text mining, sentiment analysis, topic modeling, and text classification using social media data.
Workshop 2: Introduction to GANs in Medical Image Analysis
Resource Person:
Department of Computing, Faculty of Applied Sciences, Rajarata University of Sri Lanka
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Workshop Overview:
This workshop offers an entry point into the transformative role of Generative Adversarial Networks (GANs) in medical image analysis. Designed for researchers, practitioners, and students with an interest in AI and biomedical imaging, the session will explore both foundational knowledge and real-world applications of GANs in healthcare.
Objectives:
- Introduce the fundamental concepts of GANs and their working mechanism.
- Examine the relevance of medical imaging in the modern healthcare landscape.
- Demonstrate how GANs contribute to denoising, augmentation, segmentation, and restoration of medical images.
- Provide hands-on experience using Python-based tools and medical imaging datasets.
- Facilitate critical discussions on ethical concerns and limitations in applying GANs in clinical contexts.