MonkeyLearn
No code text analytics platform for classification, sentiment, and topic extraction with prebuilt models, custom training, and integrations for workflows.
MonkeyLearn has been discontinued. The product was shut down, absorbed into another company, or now operates under a different brand. The information below is kept for reference and may describe the tool as it was.
Overview
MonkeyLearn makes natural language processing accessible to non developers. Teams import tickets, reviews, and survey responses, then apply prebuilt models for sentiment and topic or train custom classifiers tailored to their taxonomy. A visual interface lets users label examples and iterate quickly on accuracy with learning curves and evaluation reports.
Pipelines transform text through cleaning and splitting so inputs are reliable. Results feed into dashboards or integrate with spreadsheets, help desks, and BI tools to highlight trends, churn risks, and operational themes. For volume use, an API and SDKs support batch processing inside existing systems.
Governance features cover access control and data retention. Documentation and templates reduce time to value so analysts and support leaders can turn raw text into decisions without writing code.
Key features
- Prebuilt models: Apply sentiment and topic extraction fast to create value while custom work progresses
- Custom classifiers: Train domain specific taxonomies with a visual interface and evaluation reports
- Text pipeline: Clean tokenize and normalize inputs so downstream models see high quality data
- Visualization: Explore trends and confidence and export results to sheets or BI dashboards
- Workflow integrations: Connect help desks spreadsheets and data tools to automate tagging
- API and SDKs: Process text at scale from your apps with simple authentication and batching
- Human in the loop: Label and review edge cases to raise accuracy over time
- Security controls: Manage access retention and privacy for regulated teams
Best for
- Auto tag support tickets to route by topic and urgency
- Analyze reviews to detect churn risks and product gaps
- Summarize open ended survey responses into shareable themes
- Flag harmful or sensitive content before it reaches agents
- Build quality dashboards for operations and CX leaders
- Automate CRM fields based on extracted topics
- Create executive scorecards for sentiment over time
- Speed research by classifying documents at ingest
Capabilities
Custom models
Label examples and train domain specific classifiers while monitoring accuracy and confusion to improve results.
Sentiment and topics
Apply prebuilt extraction to surface intent emotion and themes across tickets reviews and surveys.
APIs and workflows
Send results to help desks sheets and BI so tagging drives routing reporting and automation.
Governance
Manage access retention and privacy practices so regulated teams can safely analyze customer text.
Frequently Asked Questions
How does MonkeyLearn pricing start?
Entry plans for business usage are publicly listed on the pricing page and begin around $299 per month with higher tiers for volume and SLA.
Can non developers train models?
Yes, the interface supports labeling evaluation and iteration so analysts can own taxonomy quality.
Is there an API for batch jobs?
Yes, a REST API and SDKs let you process large volumes and integrate results into internal systems.
What data sources are supported?
CSV uploads help desk integrations spreadsheets and connectors enable common ingest patterns.
How is data privacy handled?
Workspaces include access controls and retention policies so sensitive text is managed responsibly.
