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MonkeyLearn

Score9.2 out of 10

12 Reviews and Ratings

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What is MonkeyLearn?

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

Categories & Use Cases

Reviews

What users are saying about MonkeyLearn.
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MonkeyLearn analysis your text better

Incentivized
Deep GillView profile
Marketing Manager in Marketing at Backlsh (11-50 employees employees)

Use Cases and Deployment Scope

MonkeyLearn helped me turn my texts into actionable data, offering powerful features that extract texts from emails, chats, documents, and more, a software that allows data classification and extracting texts from emails, chats, documents among others. A tool that works safely and powerfully, yielding positive results to our organization by automating workflows.

Pros

  • Integrate with third party.
  • MonkeyLearn makes it simple to clean, organize, and visualize feedback.
  • Increase support team efficiencies.

Cons

  • Price is high for startups.

Return on Investment

  • Increase productivity.
  • Time saving.

Other Software Used

AppDupe, Semrush, DataForSEO

MonkeyLearn helps you to obtain information about clients, and to create strategies.

Incentivized
Alonso CienciView profile
Java Software Engineer in Information Technology at I2S Business Solutions (51-200 employees employees)

Use Cases and Deployment Scope

MonkeyLearn is a unique combination of customer experience (CX). Specific CX questions help you get your NPS scores easily. It offers many third-party integrations, it is complemented by Excel, ideal for creating interactive charts and graphs.

Pros

  • A unique combination of customer experience (CX).
  • Gain valuable insights from data such as NPS.
  • Lots of third-party integrations.

Cons

  • Does not offer a visualization tool.
  • Using third-party integrations may increase the price of the subscription.

Return on Investment

  • MonkeyLearn can easily extract chat survey data, CVS and XLS export options, and NPS analysis.
  • Premium Integrations: Microsoft Excel, Salesforce, etc.

Alternatives Considered

RapidMiner Studio

Other Software Used

RapidMiner Studio

All-in-one solution.

Daryl Tan JiaView profile
Software Engineer in Information Technology at Novade Solutions (51-200 employees employees)

Use Cases and Deployment Scope

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 offers flexible deployment options and includes native support for multiple languages. It facilitates integration with other applications, that is, it integrates with more than 1,000 web tools thanks to its integration with Zapier. It allows to connect to the MonkeyLearn platform directly with applications like Typeform, Front, Zendesk and more to automatically get content, topics and keywords to classify in tags in a much easier way.

Pros

  • All-in-one solution.
  • Classify texts in labels in a much simpler way.
  • Easy implementation.

Cons

  • He spends hours tagging each comment.
  • Limited integrations with external data sources.
  • High prices.

Return on Investment

  • Extract custom data within texts.
  • Their labeling process is fast and efficient.
  • The Studio version of the tool is an excellent option for a complete analysis solution.

Alternatives Considered

Keatext

Other Software Used

Keatext

Automate ticket tagging,

Incentivized
somiya gupta
Director of Social Media Marketing in Social Media at Rckcofficial (51-200 employees employees)

Use Cases and Deployment Scope

MonkeyLearn allows me to turn my ticket data into tags for my Zendesk, which is great for me to connect with customers properly and I can even upload CSVs and connect with my apps via direct integrations, Zapier, or API. I get a lot of data from my users, but I don't have the time or the ability to read through the feedback I receive. By using the tags that MonkeyLearn creates for me, I can quickly scan my data and find trends.

Pros

  • 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.

Cons

  • Prices are high for me.

Return on Investment

  • Integrate with other applications.
  • The tone of feedback.

Other Software Used

AWS Backup, Semrush, Bitext

Good tool for Machine Learning

Incentivized
Lakshya KashyapView profile
Software Engineer in Information Technology at HCL Technologies (501-1000 employees employees)

Use Cases and Deployment Scope

It is easy to use and we can easily use machine learning algorithms. They have excellent customer service. It is very flexible and easy to use with detailed documentation of their APIs. It certainly slows down your work by easily extracting data from emails, chat, web, etc. We scan a ton of information into our systems and MonleyLearn makes it easier to analyze all the text

Pros

  • Ease of use
  • Easy to set up
  • Dashboard is clean
  • Integrations are easy
  • It is convenient

Cons

  • It is a bit expensive
  • UI could improve
  • It's a challenge to have Monkey Learn bucket support tickets.

Return on Investment

  • User-friendly
  • Very flexible

Alternatives Considered

Amazon Comprehend

Other Software Used

GitHub, Figma, GoCanvas