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:
Installation
pip install scireader
Project details
Release history Release notifications | RSS feed
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)
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
Algorithm | Hash digest | |
---|---|---|
SHA256 | 4e7f276340aca1200265c12c8220b461d3537517111d98b12e6d0015933acbfb |
|
MD5 | df5b68ec51cffa8263fb142c42b5bb67 |
|
BLAKE2b-256 | 2d20e54d5b004ea268b370a380e122023e0d4bc807e46405314eb0f2b1d9d786 |