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Label Sleuth

Open source no-code system for text annotation and building text classifiers
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What is Label Sleuth?

It is an open-source no-code system for text annotation and building text classifiers. With this, domain experts can quickly create custom Natural Language Processing (NLP) models by themselves, with no dependency on NLP experts. No AI knowledge needed; from task definition to working model in just a few hours!
Label Sleuth is a tool in the NLP / Sentiment Analysis category of a tech stack.
Label Sleuth is an open source tool with 243 GitHub stars and 40 GitHub forks. Here’s a link to Label Sleuth's open source repository on GitHub

Label Sleuth Integrations

Python, Linux, Windows, macOS, and Anaconda are some of the popular tools that integrate with Label Sleuth. Here's a list of all 5 tools that integrate with Label Sleuth.

Label Sleuth's Features

  • Extensible architecture
  • Open source
  • No AI knowledge needed
  • From task definition to working model in just a few hours

Label Sleuth Alternatives & Comparisons

What are some alternatives to Label Sleuth?
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Git is a free and open source distributed version control system designed to handle everything from small to very large projects with speed and efficiency.
GitHub is the best place to share code with friends, co-workers, classmates, and complete strangers. Over three million people use GitHub to build amazing things together.
Python is a general purpose programming language created by Guido Van Rossum. Python is most praised for its elegant syntax and readable code, if you are just beginning your programming career python suits you best.
jQuery is a cross-platform JavaScript library designed to simplify the client-side scripting of HTML.
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Label Sleuth's Followers
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