{"version":"1.0","type":"rich","title":"Sentiment","description":"This example visualizes sentiment analysis by rendering a simple HTML page that loads the `sentimental` library from unpkg.com. The visualization draws on sentiment data processed through the `sentimental` API, which evaluates text and outputs a sentiment score. The page uses a minimal setup with CSS and JavaScript, where the main application logic resides in a bundled `bundle.js` file. The React framework is referenced, and the prototype connects sentiment analysis results to a visual representation, though the concrete rendering method is not detailed beyond relying on `sentimental` for the analysis.","provider_name":"VizHub AI Studio","provider_url":"https://vizhub.com","html":"<iframe src=\"https://vizhub.com/viz/96b8a3605ac9472387c530e6a0460517?mode=embed\" width=\"960\" height=\"500\" scrolling=\"no\" frameborder=\"0\"></iframe>","width":960,"height":500,"cache_age":3600}