×

What does it do?

  • Customer Feedback Analysis
  • Data Visualization
  • Sentiment Analysis
  • Topic Classification
  • Entity Extraction

How is it used?

  • Upload datasets
  • select models
  • view results in dashboards.
  • 1. Upload data w/ web app
  • 2. Select/create model
See more

Who is it good for?

  • Data Scientists
  • Product Managers
  • Market Researchers
  • Business Analysts
  • Customer Experience Managers

What does it cost?

  • Pricing model : Unknown

Details & Features

  • Made By

    MonkeyLearn
  • Released On

    2014-10-24

MonkeyLearn is a no-code text analytics platform that simplifies the process of cleaning, labeling, and visualizing customer feedback using advanced artificial intelligence. This all-in-one solution for text analysis and data visualization is designed to be accessible for users without technical expertise, enabling businesses to gain valuable insights from their textual data.

Key features:

- All-in-One Studio: Combines text analysis and data visualization in one platform.
- Granular Analysis: Allows users to dig deeper into their data for detailed insights.
- Custom Charts and Visualizations: Enables quick creation of custom visualizations.
- Multiple Data Inputs: Supports combining and filtering data by dates and custom fields.
- Ready-Made Models: Offers pre-trained classifiers and extractors for quick deployment.
- Custom Model Building: Allows users to build and train their own models without coding.
- Model Types: Includes topic classifiers, sentiment analysis, and entity extractors.
- Simple UI: Facilitates easy import of datasets, definition of custom tags, and model training.
- Business Templates: Provides tailored templates for various business scenarios with pre-made models and dashboards.
- Instant Insights: Enables users to upload data, run analysis, and get visualized insights instantly.
- Integration Options: Connects to apps and BI tools via native integrations, SQL connections, or API.

How it works:

1. Upload data to the platform.
2. Select from pre-built models or create custom ones.
3. Execute the analysis on the uploaded data.
4. Visualize results using custom charts and dashboards.
5. Connect insights to other applications or BI tools for further use.

Integrations:

Native integrations with popular apps and BI tools, SQL connection for database integration, API for custom integrations.

Use of AI:

MonkeyLearn utilizes generative artificial intelligence to enhance its text analysis capabilities. The platform employs machine learning models, including classifiers and extractors, to process and analyze text data.

Target users:

- Businesses of all sizes
- Data analysts
- Customer service teams
- Organizations seeking insights from text data

How to access:

MonkeyLearn is available as a web app and API. It is not open source and is designed for commercial use.

  • Supported ecosystems
    Unknown, Google, GitHub
  • What does it do?
    Customer Feedback Analysis, Data Visualization, Sentiment Analysis, Topic Classification, Entity Extraction
  • Who is it good for?
    Data Scientists, Product Managers, Market Researchers, Business Analysts, Customer Experience Managers

PRICING

Visit site
Pricing model: Unknown

Alternatives

Streamline ediscovery for legal teams with cloud-based document review and analytics
Kraftful analyzes user feedback to provide actionable insights for product development teams.
Inari transforms customer feedback into actionable insights for product and support teams
Aggregate and analyze user feedback to extract actionable insights for product managers
Feedly aggregates and analyzes news, trends, and intelligence for personalized insights
Defog.ai converts natural language queries into SQL for enterprise data analysis.
AnswerRocket enables businesses to analyze data through natural language queries and AI copilots.
Sherloq unifies data analytics, providing AI-powered insights and error prevention for businesses.
Transform plain English commands into Python code for data preprocessing and analysis
Automate data analysis by answering business queries instantly through Slack or Teams