Our main goal with MonkeyLearn is to make text analysis simple.

We want to enable developers, marketers, salespeople, customer support representatives and entrepreneurs without any knowledge or experience in natural language processing or machine learning to take advantage of this technology.

MonkeyLearn does this through offering models that you can use to analyze your text. Models are very powerful, they can be used for categorizing text or extracting pieces of information, and they can be combined for complex processes. Plus, they improve in accuracy over time.

With these things in mind, users have two basic ways to use MonkeyLearn:

  • Public Models: pre-trained and ready to use models for general tasks, created by the MonkeyLearn team. These models do not require any more training, are great at top-level analysis, but they are not as reliable as a Custom Model for more specific situations.
  • Custom Models: created by users for their specific needs and based on their own context and criteria. Custom models take into account a client's unique conditions and processes, and can be very accurate with proper training. See getting started with a custom model for more information.

Public Models

By using public models, users can have an easy and fast way to incorporate text analysis capabilities to their apps or workflows. Public models are models that have been already trained with training data and resolve particular text analysis tasks. They are ready to be integrated via a web API, Zapier or our Google Sheets integration.

These models are specialists in common tasks. Click on the link to test the model out:

General Use Models

Sentiment Analysis

Extraction Models

Check out and explore the public models here. New public models will be continuously added and improved by the MonkeyLearn team.

Did this answer your question?