Deriving factual information from WHO COVID-19 Abstracts using NLP!

Created: 2020-04-12 06:30:29

Download Workflow

WHO has posted a CSV that's frequently updated with COVID abstracts. A simple PubMed search reveals thousands of abstracts too. So here's an NLP pipeline to mine these and extract meaningful sentences/facts using Stanford Open Information Extractor and Biological entity tagging. #knime #naturallanguageprocessing #textanalytics #textmining #covid19 #nlp #datascience #WHO

Preview

Run

Not available

Workflow Components

Not available

Information Workflow Type

Information Uploader

Insilic...

Information License

All versions of this Workflow are licensed under:

Information Version 1 (of 1)

Information Credits (1)

(People/Groups)

Insilicoconsulting

Information Attributions (0)

(Workflows/Files)

None

[ edit ]

Information Tags (13)

Uploader tags

Log in to add Tags

Information Shared with Groups (0)

None

Information Featured In Packs (0)

None

Log in to add to one of your Packs

Information Attributed By (0)

(Workflows/Files)

None

Information Favourited By (0)

No one

Information Statistics

1679 viewings

665 downloads

[ see breakdown ]

More

Citations (0)

None

Version History

In chronological order:

Deriving factual information from WHO COVID-19 Abstracts using NLP!

Created by Insilicoconsulting on Sunday 12 April 2020 06:30:28 (UTC)

Reviews (0)

No reviews yet

Be the first to review!

Comments (0)

View Timeline

No comments yet

Log in to make a comment

Other workflows that use similar services (0)

There are no workflows in myExperiment that use similar services to this Workflow.

Funded by: BioVeL, EPSRC, JISC, Microsoft

Affiliates: myGrid, Taverna, BioCatalogue

About | Privacy | Publications | Contact / Feedback | Mailing List

Icons: Silk icon set 1.3

Copyright © 2007 – 2018 The University of Manchester and University of Southampton