AI in Social Media Analysis

Aim

Program Objectives

Program Structure

1. Introduction to AI in Social Media
   • Overview of social media data sources and types
   • Importance of AI in understanding and analyzing social media data
2. Natural Language Processing (NLP) for Social Media
   • Text processing techniques for sentiment and emotion analysis
   • Real-time sentiment analysis using AI tools
3. Trend Detection and Social Listening with AI
   • Using AI for real-time trend detection and analysis
   • Predicting virality and social media trends using machine learning
4. Social Media Engagement Analytics
   • AI techniques for analyzing user behavior and engagement
   • Tools to measure and improve social media ROI
5. AI for Image and Video Analysis in Social Media
   • Understanding visual content trends using AI
   • Image recognition and video analysis techniques
6. Hands-On Project: Social Media Sentiment and Trend Analysis
   • Building a sentiment analysis and trend detection system using Python
   • Analyzing real-time data from platforms like Twitter and Instagram

Who Should Enrol?

Program Outcomes

Fee Structure

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