Apache Mahout

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5 Open Source Natural Language Processing Tools

Open source is chock full of high-quality libraries to solve common problems in text processing like sentiment analysis, topic identification, automatic labeling of content, and more. More importantly, open source also provides many building block libraries that make it easy for you to innovate without having to reinvent the wheel. If all of this stuff is giving you flashbacks to your high school grammar classes, not to worry—we've included some useful resources at the end to brush up your knowledge as well as explain some of the key concepts around natural language processing (NLP). To begin your journey, check out these projects...

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Affordable COVID-19 Diagnoses for Hospitals: How Open Source Software Helps

The most common COVID-19 symptoms—such as coughing, fever, and shortness of breath—are shared with many other diseases. Diagnosing a patient accurately is therefore a challenge. Although a diagnosis of COVID-19 might not affect treatment, it would help a hospital predict a patient's trajectory and anticipate the need for urgent intervention. But current tests, relying on blood or mucus samples, are not particularly accurate. In this article, we'll see how open source software can help hospitals make better diagnoses. I'll concentrate on one specific role, and on the ways open source facilitates finding a solution and keeping it affordable. Many aspects of the problem feed into the solution discussed here. The article is based on work by researcher Trevor Grant.

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