How This Workflow Works
This workflow automates the collection of social media data from LinkedIn, TikTok, and Instagram, processes and aggregates engagement metrics, and presents the results in an interactive dashboard. It enables users to track engagement growth, compare content performance, and identify high-performing post types across multiple platforms.
Key Features:
- Aggregate engagement data from multiple social media platforms for unified analysis
- Identify top-performing posts and content formats based on likes, comments, shares, and other metrics
- Break down audience reactions by job profiles or emotions/sentiment using a lexicon-based approach
- Visualize trends and key findings through interactive dashboards and charts
Step-by-step:
1. Collect and Aggregate Social Media Data:
The workflow retrieves posts, engagement metrics, and comments from LinkedIn, TikTok, and Instagram using automated API calls. It consolidates this data into a unified structure, allowing for cross-platform comparison and analysis.
2. Analyze Engagement and Content Effectiveness:
Engagement metrics such as likes, comments, shares, and views are aggregated and grouped by post and time period. The workflow identifies top-performing posts and compares engagement trends across different data professionals.
3. Assess Audience Reactions and Sentiment:
The workflow applies a dictionary-based approach to assign emotions and sentiment to comments, leveraging an emotion lexicon. This helps in understanding the global sentiment and emotional response of the audience to social media posts.
4. Visualize and Share Insights:
Results are presented in an interactive dashboard featuring line plots, bar charts, and pie charts. Users can explore cumulative engagement trends, compare post performance, and filter data by platform or time period to support data-driven decision-making.