Text analysis platform acquired by Medallia, providing AI-powered sentiment analysis, topic classification, and data extraction capabilities integrated into enterprise experience management workflows
Text analysis platform (now part of Medallia) that provides sentiment analysis and content classification for business data.
MonkeyLearn was a pioneering no-code text analysis platform that democratized machine learning for business users, enabling them to build and deploy custom text classifiers, sentiment analyzers, and entity extractors without writing code. The platform offered both pre-trained models for common NLP tasks and a visual model-building interface where users could train custom models by uploading labeled datasets and iterating on accuracy. Following its acquisition by Medallia, the technology has been fully integrated into Medallia's enterprise experience management platform, where it powers the AI-driven text analytics engine that processes millions of customer feedback signals across surveys, social media, support tickets, and online reviews.
The platform is designed for product managers, customer experience teams, market researchers, and operations leaders who need to extract structured insights from unstructured text data at scale. Rather than requiring data science expertise, MonkeyLearn's original approach allowed business analysts to configure text analysis pipelines through a point-and-click interface, connect data sources via pre-built integrations with tools like Google Sheets, Zapier, and Zendesk, and visualize results through built-in dashboards. This accessibility made it particularly popular among mid-market companies that lacked dedicated NLP teams but needed to process large volumes of customer feedback.
As part of Medallia's platform, the underlying technology now serves enterprise clients across industries including retail, financial services, healthcare, hospitality, and telecommunications. The AI models analyze customer and employee experience data captured across multiple channels, automatically detecting sentiment shifts, emerging topics, and actionable patterns. Organizations considering MonkeyLearn today should be aware that the standalone product is no longer available for new signups, and the capabilities are now accessible exclusively through Medallia's broader experience management suite, which is positioned as an enterprise solution with corresponding pricing and implementation requirements.
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MonkeyLearn was widely praised for its intuitive no-code interface and accessible NLP capabilities, making text analysis available to non-technical users. Since its acquisition by Medallia, users note the technology is now enterprise-only, limiting access for small teams and startups that were its original core audience.
Pre-trained and custom sentiment analysis models that detect emotional tone, polarity, and intensity in text data across customer feedback channels. The models classify text as positive, negative, or neutral and can be fine-tuned with domain-specific training data to recognize industry jargon and context-dependent expressions that generic models miss.
Use Case:
Analyze customer feedback sentiment, monitor brand perception, or evaluate product reviews for emotional insights
Automatic multi-label categorization of text content into user-defined topics and themes, powered by machine learning classifiers that improve with additional training data. The system supports hierarchical topic taxonomies and can assign multiple relevant topics to a single piece of text, enabling nuanced content organization beyond simple keyword matching.
Use Case:
Organize customer support tickets, categorize survey responses, or segment content for targeted analysis
Named entity recognition engine that identifies and extracts specific data points like company names, product references, monetary values, locations, and custom entities from unstructured text. Extracted entities can be used to build structured databases from free-form customer feedback or to power downstream analytics and reporting workflows.
Use Case:
Extract key information from customer feedback, identify mentioned products, or analyze competitive mentions
Visual interface for creating, training, and deploying custom text analysis models without programming. Users upload labeled examples, define classification categories or extraction rules, and iteratively refine model performance through an interactive accuracy testing workflow that highlights misclassifications and suggests improvements.
Use Case:
Enable business analysts and non-technical team members to build domain-specific text classifiers tailored to their organization's unique terminology and categorization needs
Pre-built connectors and API access for embedding text analysis into existing business workflows across tools like Google Sheets, Zendesk, Freshdesk, Zapier, and custom applications. Automated pipelines can process incoming data in real time or batch mode, applying trained models and routing results to dashboards, databases, or notification systems without manual intervention.
Use Case:
Automatically analyze and tag new support tickets as they arrive in Zendesk, or process survey responses in Google Sheets with sentiment scores appended to each row
Unified text analysis across multiple data sources including customer surveys, social media posts, online reviews, support tickets, chat transcripts, and email correspondence. The platform normalizes text from diverse formats and channels into a consistent analytical framework, enabling cross-channel sentiment comparison and trend detection from a single dashboard.
Use Case:
Compare customer sentiment across social media, email support, and survey channels to identify where experience gaps are most acute and prioritize improvements by channel impact
$299/month
$999/month
Starting at ~$40,000/year
Starting at ~$100,000/year
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MonkeyLearn's text analytics engine has been fully absorbed into Medallia's enterprise platform following the acquisition. The standalone MonkeyLearn product and API have been sunset, with all NLP capabilities now delivered through Medallia's unified experience management suite. Medallia has continued evolving the underlying models with enhanced multilingual support and deeper integration across its customer and employee experience analytics modules.
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