MonkeyLearn is a no-code text analysis platform that uses machine learning to automatically process and extract meaning from large volumes of text data — customer reviews, support tickets, survey responses, social media mentions, emails and any other text your business collects. It makes natural language processing (NLP) accessible to non-technical teams through a visual interface for training, testing and deploying text analysis models.
The platform offers pre-trained models for the most common text analysis tasks — sentiment analysis (positive, negative, neutral), topic detection, intent classification, urgency detection and keyword extraction. These work out of the box on your text data without any training. For more specific use cases, MonkeyLearn's custom model builder lets you train classifiers on your own labelled examples — for instance, training a model to categorise your support tickets into your specific issue categories.
MonkeyLearn integrates with popular business tools including Zendesk, Intercom, Google Sheets, Zapier and Airtable — enabling automated text analysis workflows. New customer reviews come into Zendesk, MonkeyLearn automatically classifies them by sentiment and topic, and routes negative reviews to a customer success manager. This kind of automation replaces hours of manual categorisation with real-time AI processing.