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Monkeylearn

MonkeyLearn simplifies text analysis and visualization, offering no-code tools and machine learning for actionable business insights.
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Monkeylearn

What is Monkeylearn?

MonkeyLearn is a text analysis platform that simplifies text analysis and data visualization, making it accessible to businesses of all sizes. It offers features such as instant data visualizations, no-code text analytics for cleaning, labeling, and visualizing customer data, and pre-built or custom machine learning models. The platform facilitates the transformation of feedback into actionable business intelligence, aiding in improving service quality and understanding customer sentiment.

Who created Monkeylearn?

MonkeyLearn was created by Raúl Garreta and Martín Alcalá Rubí. The company provides a no-code platform for text analysis and data visualization, offering features like instant data visualizations, no-code text analytics, pre-built and custom machine learning models, business templates, and integration capabilities. MonkeyLearn simplifies text analysis for businesses of all sizes, enabling users to clean, label, and visualize customer data without technical expertise.

What is Monkeylearn used for?

  • Instant Data Visualizations
  • No-Code Text Analytics
  • Pre-Built & Custom ML Models
  • Business Templates
  • Integration Capability

Who is Monkeylearn for?

  • Customer service representatives
  • Data scientists
  • Marketing professionals
  • Research analysts
  • Product Managers
  • Business analysts
  • Customer Experience Managers
  • Entrepreneurs and Startup Founders

How to use Monkeylearn?

To use MonkeyLearn, follow these steps:

  1. Sign Up: Create an account on MonkeyLearn's platform.
  2. Data Upload: Import your text data for analysis.
  3. Analysis: Utilize their pre-built machine learning models or create custom ones.
  4. Data Visualization: Benefit from instant visualizations and deep insights with customizable charts.
  5. Integration: Connect seamlessly with various apps and BI tools through integrations and APIs.
  6. Top Features: Enjoy features like instant data visualizations, no-code text analytics, pre-built & custom ML models, business templates, and integration capabilities.
  7. Pricing: Explore the pricing plans available to suit your needs.

MonkeyLearn simplifies text analysis and data visualization, offering a no-code platform with various tools to understand customer sentiment and improve service quality easily. It provides an all-in-one text analysis studio for quick insights and customization. It stands out as a crucial tool for data-driven companies, converting feedback into actionable business intelligence effectively.

Pros
  • Instant Data Visualizations: Customize charts and gain deep insights with real-time analysis.
  • No-Code Text Analytics: Easily clean label and visualize customer feedback.
  • Pre-Built & Custom ML Models: Choose pre-trained models or create your own without coding.
  • Business Templates: Access pre-made models and dashboards for various business scenarios.
  • Integration Capability: Connect easily with apps and BI tools through integrations and API.
  • Instant Data Visualizations
  • No-code text analytics
  • Pre-Built & Custom ML Models
  • Business Templates
  • Integration Capability
Cons
  • No cons mentioned in the document

Monkeylearn FAQs

What is MonkeyLearn?
MonkeyLearn is a tool that simplifies text analysis and data visualization, making it accessible to businesses of all sizes.
What are some features of MonkeyLearn?
Some features of MonkeyLearn include instant data visualizations, no-code text analytics, and pre-built/custom ML models.
How does MonkeyLearn empower users?
MonkeyLearn empowers users by allowing them to quickly clean, label, and visualize customer data without technical expertise.
What analysis tools are available in MonkeyLearn?
Users of MonkeyLearn benefit from analysis tools such as NPS, CSAT, and VoC to understand customer sentiment and improve service quality.
Can users access pre-made text analysis models in MonkeyLearn?
Yes, users can access pre-built machine learning models or create their own without coding in MonkeyLearn.
Does MonkeyLearn offer integration capabilities?
Yes, MonkeyLearn offers integration capabilities to connect easily with apps and BI tools through integrations and APIs.

Get started with Monkeylearn

Monkeylearn reviews

How would you rate Monkeylearn?
What’s your thought?
Alessandro Rossi
Alessandro Rossi January 2, 2025

What do you like most about using Monkeylearn?

I appreciate the no-code interface which made it easy for my team to start analyzing customer feedback without needing deep technical skills.

What do you dislike most about using Monkeylearn?

The speed of processing large datasets could be improved. Sometimes it takes longer than expected for visualizations to update.

What problems does Monkeylearn help you solve, and how does this benefit you?

It helps us categorize customer feedback efficiently, allowing us to quickly identify trends and areas for improvement in our services.

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Michael Johnson
Michael Johnson December 24, 2024

What do you like most about using Monkeylearn?

The ability to create custom models is a plus; it allows for tailored solutions to our specific data needs.

What do you dislike most about using Monkeylearn?

The learning curve can be steep at first, especially for users not familiar with machine learning concepts.

What problems does Monkeylearn help you solve, and how does this benefit you?

It helps in interpreting customer sentiment from survey data, which aids in adjusting marketing strategies accordingly.

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Wanjiru Njeri
Wanjiru Njeri December 10, 2024

What do you like most about using Monkeylearn?

The instant data visualizations are fantastic! They make it easy to present findings to my team.

What do you dislike most about using Monkeylearn?

Sometimes the templates feel a bit restrictive. More options would be great!

What problems does Monkeylearn help you solve, and how does this benefit you?

It has streamlined our feedback analysis process, allowing us to respond to customer needs more quickly.

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