ASReview LAB is the user-friendly front-end which can be used to screen large amounts of textual data, like in the case of systematic reviewing. After downloading the software, initializing a project, uploading your data, and selecting a machine learning model, you can start screening the records while the active learning algorithm is ranking the unlabeled records in the back.
Below we highlight some features, but many more are described in the documentation.
ASReview LAB is installed on your device locally. This ensures that nobody else has access to your data, except when you share it with others. Nice, isn’t it?
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With the smart project setup features in ASReview LAB, you can start a new project in minutes.
ASReview is designed to connect with citation managers. Importing all your documents is a breeze. Even better, after you’re done screening, you can easily continue your work in your favorite citation manager.
ASReview offers complete transparency and insight into how it all works.
From the source code of the algorithms behind ASReview LAB to all the scripts behind the plug-ins, you can find it all on GitHub and read-the-docs.
No distractions, only the information you really need:
That’s enough to make your decision if a record is relevant to you.
ASReview LAB has many features that you might enjoy. Find out more on Read-the-Docs.
