Social media platforms like Ekşi Sözlük provide a rich repository of public discourse. Extracting meaningful insights from this data requires the rigorous methodology found in Academetrica QUALI. This report showcases automated sentiment analysis based on the foundational Ekman emotion model.
The analysis examines shifting public perceptions across five critical themes:
- Solo Travel: Trends from 2023–2025
- Rising Divorce Rates: Comparative data from 2022–2024
- Medical Brain Drain: Migration to Germany (2021–2023)
- Social Media Impact: Sentiments from 2023–2025
- Cancer Awareness: Discourse shifts from 2022–2024
Strategic Visualization for Qualitative Insights
To ensure academic rigor, the report utilizes advanced visualization tools like Code Matrices for comparing emotional frequencies across time and Code Portraits for proportional snapshots of the dataset. These tools allow researchers to visualize the dominance of emotions, such as the high frequency of sadness in health discussions versus happiness in solo travel trends.
By utilizing Code Hierarchies, Academetrica QUALI maintains a clear relationship between themes and categories, ensuring all findings are rooted in established theoretical frameworks.
Fig 1. Code Circles
Fig 2. Code Portrait Framework
