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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 250 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?
Postman
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Postman
It is the only complete API development environment, used by nearly five million developers and more than 100,000 companies worldwide.
Stack Overflow
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Google Maps
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Elasticsearch
Elasticsearch is a distributed, RESTful search and analytics engine capable of storing data and searching it in near real time. Elasticsearch, Kibana, Beats and Logstash are the Elastic Stack (sometimes called the ELK Stack).
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Related Comparisons
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Label Sleuth's Followers
3 developers follow Label Sleuth to keep up with related blogs and decisions.