MonkeyLearn is a text analytics platform that provides machine learning tools for analyzing and classifying text data at scale, specializing in sentiment analysis, topic classification, keyword extraction, and other natural language processing tasks. Founded in 2014 by Raul Garreta, the company was headquartered in Buenos Aires, Argentina, and was acquired by Medallia in 2022 to enhance its customer experience analytics capabilities. MonkeyLearn enables businesses to build custom text classification and extraction models without machine learning expertise through a visual, no-code interface. Users can create models by uploading labeled training data and iteratively improving model accuracy through an active learning workflow that suggests the most impactful data points to label next. The platform offers a library of pre-built models for common text analysis tasks including sentiment analysis, intent detection, language detection, email classification, and support ticket categorization. These pre-trained models can be used immediately or fine-tuned with custom data for specific domains and use cases. MonkeyLearn provides multiple integration options including a REST API, Python and Ruby SDKs, Google Sheets add-on, Zapier integration, and direct connectors to business tools like Zendesk, Freshdesk, and other customer support platforms. This allows organizations to automate the analysis of customer feedback, support tickets, survey responses, social media mentions, product reviews, and other text-heavy data sources. The platform includes visualization dashboards that display analysis results through charts and graphs, providing an overview of sentiment trends, topic distributions, and other text patterns. MonkeyLearn operates on a tiered pricing model with a limited free tier for testing, a Team plan with expanded usage and features, and a Business plan with higher volumes, priority support, and advanced customization options.

AI Analytics Tools

MonkeyLearn provides text analytics dashboards that visualize sentiment trends, topic distributions, and keyword frequencies across text datasets. The platform turns unstructured customer feedback and communications into charts, graphs, and metrics that help businesses track sentiment over time and identify emerging patterns in their text data.

AI Automation Tools

MonkeyLearn automates text processing workflows through its API, Zapier integration, and direct connectors to business applications. Organizations can set up automated pipelines that classify incoming emails, tag support tickets, extract entities from documents, and route content based on AI analysis without manual intervention.

AI Content Moderation

MonkeyLearn can be configured for content moderation workflows by building custom text classifiers that detect inappropriate content, spam, toxic language, or policy violations in user-generated text. Its API enables automated screening of incoming content with real-time classification and routing based on model predictions.

AI CRM Tools

MonkeyLearn integrates with customer relationship management tools like Zendesk and Freshdesk to automatically analyze and categorize customer interactions. It can classify support tickets by topic and urgency, detect customer sentiment, and extract key information from customer communications, enhancing CRM workflows with automated text intelligence.

AI Data Analysis

MonkeyLearn enables AI-powered text data analysis by automatically classifying, extracting, and quantifying information from unstructured text sources. Organizations use it to analyze customer feedback, survey responses, and support tickets at scale, transforming qualitative text data into structured, quantifiable insights for data-driven decision-making.