MonkeyLearn

MonkeyLearn is a text analytics tool that lets you build or use pre-trained models for sentiment analysis, topic and intent classification, and keyword/entity extraction—without writing code.
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Core features
Text classification for sentiment (positive/negative/neutral), topics, intent, and custom categories.
​Text extraction to pull out keywords, entities (names, companies), and other structured fields from text.
​Pre-trained models plus custom model builder via a graphical interface.
​Integrations with Google Sheets, Zendesk, RapidMiner, Zapier, and APIs/SDKs for bulk and real-time analysis.
​Dashboards and visualizations to explore tags, sentiment trends, and key phrases.
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Key tools it offers
Sentiment analysis models for support tickets, reviews, NPS comments, and social media.
​Topic/intent classifiers for routing, prioritizing, and categorizing customer messages.
​Keyword and entity extractors to capture key terms, brands, and product attributes.
​MonkeyLearn Studio for building workflows, training models, and visualizing results.
​Connectors and add-ons (e.g., Google Sheets extension) for low-friction deployment.
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Benefits for users
For support & CX teams: Auto-tag and prioritize tickets, monitor sentiment, and identify recurring issues.
​For product & marketing teams: Analyze feedback at scale to guide roadmaps, messaging, and UX improvements.
​For analysts & ops: Replace manual coding of text with automated, repeatable pipelines feeding BI tools.