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AQL Sentiment Analysis Package
Sentiment Analysis API wrapper
- Business Need
- Analytics
AQL Sentiment Analysis (AQLSA) utilizes the Salesforce Einstein platform to identify the sentiments expressed in the text feed.
Compatibility
- Salesforce Editions
- ProfessionalEnterpriseUnlimitedDeveloper
App Details
- Version
- AQL Sentiment - Managed/AQL Sentiment - Rel 1 1.4.0
- Listed On
- 06/07/2022
- Latest Release
- 06/08/2022
- Supported FeaturesNo LimitsThis product's apps, tabs, and objects don't count against your Salesforce org limits. Learn More in HelpLightning ReadyOptimized for Salesforce orgs that use Lightning Ready.Managed PackageThis product is installed in your Salesforce org as a managed package and receives automatic upgrades.
- No LimitsLightning ReadyManaged Package
- Package ContentsIf this app is a managed package, the custom apps, tabs, and objects that it contains don't count against your Salesforce allocations. If this app is not a managed package, allocations apply. Learn More in Help
- Custom Objects: 2Custom Tabs: 1Custom Apps: 0
- Lightning Components
- Global: 1App Builder: 0Community Builder: 0
- Languages
- English
Security
This solution is a Non-SFDC Application as defined in Salesforce’s Main Services Agreement. Notwithstanding these Security Requirements or any security review of a Partner Application, Salesforce makes no guarantees about the quality or security of this solution. You’re responsible for evaluating this solution’s quality, security, and functionality.
Last Reviewed Version
The most recent solution version that underwent the AppExchange Security Review. Undergoing the Security Review doesn't guarantee a solution’s security.
1.4.0
Last Reviewed Date
The most recent date that this solution underwent the AppExchange Security Review. Undergoing the Security Review doesn’t guarantee a solution’s security.
04/13/2022
Additional Details
AQL Sentiment Analysis provides a wrapper around the Einstein API to pass text from any object and retrieve and quantify the positive, negative or neutral sentiment expressed in the text. By understanding the sentiment and its trend over time, companies can proactively address issues.