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What is MonkeyLearn?

Turn emails, tweets, surveys or any text into actionable data. Automate business workflows and saveExtract and classify information from text. Integrate with your App within minutes. Get started for free.
MonkeyLearn is a tool in the NLP / Sentiment Analysis category of a tech stack.

Who uses MonkeyLearn?

Companies

Developers
6 developers on StackShare have stated that they use MonkeyLearn.

MonkeyLearn Integrations

Zendesk, FreshDesk, Looker, Front, and Delighted are some of the popular tools that integrate with MonkeyLearn. Here's a list of all 8 tools that integrate with MonkeyLearn.

Why developers like MonkeyLearn?

Here’s a list of reasons why companies and developers use MonkeyLearn
Top Reasons

MonkeyLearn's Features

  • Define your custom categories and tags to structure your text data. Process thousands of texts and get actionable insights. Implement NLP features in your product with our scalable API. We provide SDKs for major programming languages. No NLP or Machine Learning knowledge is required. Just play with our elegant UI and our Patent Pending Algorithm creation Engine.

MonkeyLearn Alternatives & Comparisons

What are some alternatives to MonkeyLearn?
SpaCy
It is a library for advanced Natural Language Processing in Python and Cython. It's built on the very latest research, and was designed from day one to be used in real products. It comes with pre-trained statistical models and word vectors, and currently supports tokenization for 49+ languages.
rasa NLU
rasa NLU (Natural Language Understanding) is a tool for intent classification and entity extraction. You can think of rasa NLU as a set of high level APIs for building your own language parser using existing NLP and ML libraries.
Google Cloud Natural Language API
You can use it to extract information about people, places, events and much more, mentioned in text documents, news articles or blog posts. You can use it to understand sentiment about your product on social media or parse intent from customer conversations happening in a call center or a messaging app. You can analyze text uploaded in your request or integrate with your document storage on Google Cloud Storage.
Amazon Comprehend
Amazon Comprehend is a natural language processing (NLP) service that uses machine learning to discover insights from text. Amazon Comprehend provides Keyphrase Extraction, Sentiment Analysis, Entity Recognition, Topic Modeling, and Language Detection APIs so you can easily integrate natural language processing into your applications.
Gensim
It is a Python library for topic modelling, document indexing and similarity retrieval with large corpora. Target audience is the natural language processing (NLP) and information retrieval (IR) community.
See all alternatives

MonkeyLearn's Followers
22 developers follow MonkeyLearn to keep up with related blogs and decisions.
John Alton
Mohamma76685757
Tamilvanan P
Ra Garreta
draix
Fred Persyn
ColoVentura
huijoohwee
Janaka Abeywardhana
Taulant Ramabaja