🚀 StudyJam #DevFlow 3.0: Social Media Sentiment Analytics - Leveraging NLP for Data-Driven Insights

Ready to turn the internet's noise into actionable data? In this hands-on session, we’re diving deep into the world of Natural Language Processing (NLP) to decode how the world feels. You won’t just be scrolling through feeds, you’ll be building the engine that analyzes them.

We will explore the end-to-end pipeline of a Sentiment Analysis project, from raw data acquisition to meaningful visualization. Using real-world social media datasets, you will learn how to leverage Python and VADER to score human emotions and transform messy digital conversations into clear, professional trends. Whether you're a CS student looking to start your Data Science journey or a developer curious about AI's "emotional intelligence", this session is your perfect entry point.

📅 Date: Sunday, 1 March 2026
⏰ Time: 19:30 – 21:00 WIB
🌐 Online via Google Meet: meet.google.com/eqd-qzrp-qnj
🎤 Speaker: Alexander Bryan Wiredja - Junior Software Laboratory Assistant Binus Bandung

💡 What you’ll gain:

• Master Sentiment Analysis techniques for Social Media data

• Hands-on experience with Python, VADER, and Google Colab

• Learn to implement Text Pre-processing, Lexicon Scoring, and Data Viz

• Understand how to transform raw digital noise into actionable visual trends

• SAT Points for Binusian

👥 Who should join?

• Students curious about Data Science and NLP

• Developers wanting to add AI features to their projects

• Tech enthusiasts that interested in how big tech analyzes public opinion

🎫 Seats are limited — secure your spot early!

#TechLearning #GDG #GDGoCBinusBandung #CampusTech #DataScience #SentimentAnalysis #NLP