Skip to main content

ScispaCy-based natural language processing pipeline for scientific literature mining

Project description

scireader

SciReader is a ScispaCy-based natural language processing pipeline for scientific literature mining. To help combat the COVID-19 pandemic, it has been applied to find the most relevant literature given a query research topic.

Python Dependencies and Requirements:

spacy: 2.2.1
scispacy: 0.2.4
numpy: 1.17.4
wmd: 1.3.2
pandas: 0.25.3
scikit-learn: 0.21.3
re: 2.2.1
json: 2.0.9

Recommeded pre-trained ScispaCy model:

en_core_sci_lg: 0.2.4  

Installation

pip install scireader

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

scireader-0.0.4.tar.gz (10.6 kB view details)

Uploaded Source

File details

Details for the file scireader-0.0.4.tar.gz.

File metadata

  • Download URL: scireader-0.0.4.tar.gz
  • Upload date:
  • Size: 10.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/42.0.2.post20191203 requests-toolbelt/0.9.1 tqdm/4.40.0 CPython/3.7.3

File hashes

Hashes for scireader-0.0.4.tar.gz
Algorithm Hash digest
SHA256 4e7f276340aca1200265c12c8220b461d3537517111d98b12e6d0015933acbfb
MD5 df5b68ec51cffa8263fb142c42b5bb67
BLAKE2b-256 2d20e54d5b004ea268b370a380e122023e0d4bc807e46405314eb0f2b1d9d786

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page