MonkeyLearnWhat 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?
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.
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.
