Aim
This program is designed to provide participants with advanced skills to analyze and interpret social media data using AI technologies. It will cover key areas like sentiment analysis, trend detection, and using AI to understand user behavior and engagement across social media platforms.
Program Objectives
- AI for Social Media Analysis: Learn how AI is applied to analyze large-scale social media data.
- Master Sentiment and Trend Detection: Develop expertise in using AI for sentiment analysis and identifying emerging trends.
- Optimize Social Media Strategy: Understand how AI can enhance user engagement and help optimize social media strategies.
- Visual Content Analysis: Gain insights into analyzing images and videos with AI tools.
- Hands-On Project: Build a real-time sentiment and trend analysis project for social media platforms.
Program Structure
Module 1: Introduction to AI in Social Media
- Overview of data sources from social media platforms.
- How AI helps in analyzing and interpreting social media data.
Module 2: Natural Language Processing (NLP) for Social Media
- NLP techniques for processing text-based data from social platforms.
- Sentiment and emotion analysis using AI tools.
Module 3: Trend Detection and Social Listening with AI
- Real-time trend detection using AI.
- Predicting social media virality and trends with machine learning.
Module 4: Social Media Engagement Analytics
- AI techniques for analyzing user behavior and engagement.
- Tools to measure ROI and enhance social media performance.
Module 5: AI for Image and Video Analysis in Social Media
- Analyze visual content trends using AI.
- Techniques for image recognition and video analysis.
Module 6: Hands-On Project: Social Media Sentiment and Trend Analysis
- Build a sentiment analysis and trend detection system using Python.
- Work with real-time data from platforms like Twitter and Instagram.
Participant Eligibility
- Social Media Marketers
- Data Scientists
- Digital Strategists
- AI Professionals focusing on social media platforms
Program Outcomes
- AI for Trend Detection: Gain proficiency in analyzing and predicting social media trends using AI.
- Expert in Sentiment Analysis: Master sentiment analysis techniques and learn to optimize social media engagement.
- Build AI Tools: Develop tools for real-time social media monitoring and user engagement.
- Hands-On Experience: Complete a project focused on AI-powered social media solutions.
Program Deliverables
- Access to e-LMS: Online access to all course materials and resources.
- Real-Time Project: Build a project focused on social media sentiment and trend analysis.
- Project Guidance: Receive guidance from industry professionals for your project.
- Paper Publication: Opportunities for publishing research work.
- Final Examination: Certification awarded after passing the final exam and completing assignments.
- e-Certification and e-Marksheet: Digital credentials upon successful course completion.
Future Career Prospects
- Social Media Data Analyst: Specialize in analyzing social media platforms for insights.
- AI Social Media Strategist: Use AI to shape social media strategies and campaigns.
- Social Media Marketing Analyst: Optimize marketing strategies using AI-driven analytics.
- Digital Content Analyst: Focus on analyzing content performance across social platforms.
- Trend Analyst: Use AI to predict trends on social media platforms.
- Social Media Sentiment Analyst: Specialize in sentiment and emotional analysis from social media data.
Job Opportunities
- Social Media Platforms: Platforms requiring AI-powered analytics to enhance user engagement and content performance.
- Digital Marketing Agencies: Agencies looking to use AI tools for analyzing and predicting social media behavior.
- Media Companies: Media firms analyzing audience engagement and performance metrics using AI.
- Brands: Businesses implementing AI to measure and predict user behavior on social media.
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