Connect Stilingue to Superset: Dashboards in Minutes
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Visualize Stilingue Data in Superset
Connect Stilingue to Superset through Kondado to unlock powerful social listening insights for your business teams. Kondado enables marketing managers and operations teams to replicate customer experience data from Stilingue directly into Superset without intermediate databases or complex technical setup. With configurable update schedules, your dashboards stay current so you can make informed decisions about brand reputation and customer sentiment.
Kondado connects Stilingue to Superset via a “Via Kondado” connection, replicating 139 fields across 5 sentiment analysis pipelines with no code required and automated updates on your schedule.
Our prices start from $19 USD/month, and you can try Kondado for free for 14 days with no credit card required
The Stilingue and Superset combination empowers your team to visualize Sentiment by Terms and Sentiment by Hashtags pipelines, identifying market trends and reputation risks quickly. Business leaders track Sentiment by Groups to understand audience segment perceptions, while data teams combine Sentiment by Themes with other sources to drive strategic marketing and sales actions based on social listening insights.
Try out all the features for free for 14 days
Stilingue data available in Superset
Available integrations
| Integration | Description |
|---|---|
| Sentiment by Terms | Analyzes sentiment towards specific terms, presenting metrics such as total, positive, negative, and neutral, along with total_polarity_classified. |
| Sentiment by Themes | Evaluates sentiment towards themes, including metrics such as total, positive, negative, and neutral, along with total_polarity_classified. |
| Sentiment by Hashtags | Examines sentiment associated with hashtags, featuring metrics such as total, positive, negative, and neutral, along with total_polarity_classified. |
| Sentiment by Tags | Investigates sentiment towards tags, presenting metrics such as total, positive, negative, and neutral, along with total_polarity_classified. |
| Sentiment by Groups | Analyzes sentiment towards groups, with metrics such as total, positive, negative, and neutral, along with total_polarity_classified. |
Try out all the features for free for 14 days
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