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MonkeyLearn

MonkeyLearn

Overview

What is MonkeyLearn?

MonkeyLearn is a Text Analysis platform that allows companies to create new value from text data.

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Recent Reviews

TrustRadius Insights

MonkeyLearn has proven to be a valuable tool for automating workflows and extracting texts from various sources such as emails, chats, and …
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All-in-one solution.

9 out of 10
January 25, 2022
MonkeyLearn is one of the easiest text analysis tools to set up and use. It is used to extract custom content or data within texts.It …
Continue reading
Read all reviews
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Pricing

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API

$299

Cloud
month

Studio

custom pricing

Cloud

Entry-level set up fee?

  • No setup fee
For the latest information on pricing, visithttps://monkeylearn.com/pricing

Offerings

  • Free Trial
  • Free/Freemium Version
  • Premium Consulting/Integration Services

Starting price (does not include set up fee)

  • $299 per month
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Product Demos

MonkeyLearn Demo

YouTube

#2: Marketing & The Machine - Adobe demo, Predictive capabilities & MonkeyLearn's low-code app

YouTube

Animated Explainer video: MonkeyLearn

YouTube

[500 STARTUPS DEMO DAY 2015] BATCH 14, MonkeyLearn

YouTube

Take a tour of MonkeyLearn Studio Dashboards

YouTube

Webinar - Introduction to MonkeyLearn

YouTube
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Product Details

What is MonkeyLearn?

MonkeyLearn provides a simple graphical interface where users can create customized text classification and extraction analysis by training machine learning models such as sentiment analysis, topic detection, keyword extraction.

MonkeyLearn Video

Product Instruction

MonkeyLearn Technical Details

Deployment TypesSoftware as a Service (SaaS), Cloud, or Web-Based
Operating SystemsUnspecified
Mobile ApplicationNo

Frequently Asked Questions

MonkeyLearn is a Text Analysis platform that allows companies to create new value from text data.

MonkeyLearn starts at $299.

The most common users of MonkeyLearn are from Mid-sized Companies (51-1,000 employees).
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Comparisons

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Reviews and Ratings

(12)

Community Insights

TrustRadius Insights are summaries of user sentiment data from TrustRadius reviews and, when necessary, 3rd-party data sources. Have feedback on this content? Let us know!

MonkeyLearn has proven to be a valuable tool for automating workflows and extracting texts from various sources such as emails, chats, and documents. This functionality has been highly appreciated by users, allowing them to save time and streamline their processes. Additionally, organizations have successfully utilized MonkeyLearn to transform ticket data into tags for customer support platforms like Zendesk. This has facilitated smoother customer interactions and enabled trend analysis for better decision-making.

The ease of use and flexibility of MonkeyLearn have garnered positive feedback from customers. Users have particularly praised the software's ability to seamlessly integrate with other applications and web tools, making it effortless to incorporate into existing workflows. Moreover, MonkeyLearn's text analysis capabilities have provided users with actionable insights by extracting custom content or data within texts. This feature has been especially useful for data-driven decision-making and gaining valuable information from large volumes of text without the need for manual reading.

Customers have found great value in MonkeyLearn's ability to analyze feedback from their clients. By quickly scanning and identifying trends in customer data, users can efficiently respond to emerging issues or opportunities without being overwhelmed by a large amount of information. Furthermore, MonkeyLearn's AI system has assisted marketing teams in converting technical language into simpler terms, improving communication with a wider audience. The user-friendly experience offered by MonkeyLearn is notable as well, as the tool does not require extensive training and is easy to learn.

The support provided by MonkeyLearn through its excellent customer service has left customers satisfied. Additionally, the detailed API documentation has further enhanced the experience, ensuring a smooth integration process and offering support whenever needed. Overall, MonkeyLearn has proven to be a versatile tool that solves various challenges across different industries through its automation capabilities, text analysis functions, and user-friendly interface.

Reviews

(1-7 of 7)
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January 25, 2022

All-in-one solution.

Daryl Tan Jia | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
  • All-in-one solution.
  • Classify texts in labels in a much simpler way.
  • Easy implementation.
  • He spends hours tagging each comment.
  • Limited integrations with external data sources.
  • High prices.
January 21, 2022

Automate ticket tagging,

Score 10 out of 10
Vetted Review
Verified User
Incentivized
  • I like how MonkeyLearn can track customer feedback for us, it helps us get more data about customer needs, it makes it easier for us to analyze customer feedback and act on it in the future.
  • Easily build and train a machine learning model to tag and classify your text.
  • Prices are high for me.
Alonso Cienci | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Incentivized
  • A unique combination of customer experience (CX).
  • Gain valuable insights from data such as NPS.
  • Lots of third-party integrations.
  • Does not offer a visualization tool.
  • Using third-party integrations may increase the price of the subscription.
Score 9 out of 10
Vetted Review
Verified User
Incentivized
  • Extraction of new words
  • Data visualization and detailed insights of a particular text/sentence
  • Provides best business/commercial templates
  • Hassle-free analysis
  • Can include more features in Models
  • Price is good for any large enterprise but there should be a package for SME companies
  • Not suitable for a freelancer; costly and training is required to use
Score 8 out of 10
Vetted Review
Verified User
Incentivized
  • Segregation of topics.
  • Tone of the feedbacks based on positivity and negativity.
  • Subcategory of Service requests, project based or standard feedbacks.
  • Sometimes the segregation is generic based on the email content and needs more examples to learn.
  • Financial category is not easily segregated/tagged.
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