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MonkeyLearn
ByMonkeyLearnMonkeyLearn

MonkeyLearn

#22in Text & Language Models
Discussions0
Followers44
OverviewDiscussions

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 Text & Language Models category of a tech stack.

Key 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 Pros & Cons

Pros of MonkeyLearn

  • ✓Easy to use

Cons of MonkeyLearn

No cons listed yet.

MonkeyLearn Alternatives & Comparisons

What are some alternatives to MonkeyLearn?

SpaCy

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.

Transformers

Transformers

It provides general-purpose architectures (BERT, GPT-2, RoBERTa, XLM, DistilBert, XLNet…) for Natural Language Understanding (NLU) and Natural Language Generation (NLG) with over 32+ pretrained models in 100+ languages and deep interoperability between TensorFlow 2.0 and PyTorch.

rasa NLU

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.

Gensim

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.

Amazon Comprehend

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.

Google Cloud Natural Language API

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.

MonkeyLearn Integrations

Zapier, Mode, Zendesk, FreshDesk, Front and 3 more are some of the popular tools that integrate with MonkeyLearn. Here's a list of all 8 tools that integrate with MonkeyLearn.

Zapier
Zapier
Mode
Mode
Zendesk
Zendesk
FreshDesk
FreshDesk
Front
Front
Delighted
Delighted
Google Sheets
Google Sheets
Looker
Looker

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