SOCIAL HAPPINESS INDEX
How do you measure happiness? You can’t ask people directly without getting biased responses. People won’t tell you how they really feel.
So we came up with a big idea – the SHI Dashboard. It captures data anonymously across all social media channels - Twitter, Facebook, Instagram, news outlets, blogs and many more. Then, the AI engine performs a contextual sentiment analysis where mentions tagged Positive, Negative or Neutral. The results are visualized in an easy to understand dashboard to give you an overview of public sentiment and overall happiness.
At present, the AI module understands English and all Arabic dialects. In the near future, we’ll be reaching it 20+ new languages – including French, Spanish, Russian, Indian, Chinese, Japanese, and others. We’ll also make sure contextual analysis accuracy stays above 85%.
Scope
Build a Social Sentiment Happiness Index that measures societal happiness.
Data used
Anonymous social media data across multiple channels including Twitter, Facebook, Instagram, blogs, news channels, forums and others.
Analysis
The AI module performs a contextual sentiment analysis to tag each mention as either Positive, Negative or Neutral.
Outcomes
The AI module is fluent in English and all Arabic dialects, with accuracy over 80%. It will soon learn 20+ new languages.
Other Use Cases
Social Happiness Index
Measuring happiness by using AI to analyse social media of the population.
Electricity & Water Consumption
Visualising how resources are consumed across the city’s communities.
Food Inspection Dashboard
Helping food inspectors plan by visually displaying inspection locations, frequency and results.
City Flow
Using entry and repatriation data to highlight popular communities and project future population growth.