PyFastNER

PyFastNER is the python implementation of FastNER, which is orginally developed using Java. It uses hash function to process multiple rules at the same time. Similar to FastNER, PyFastNER supports token-based rules (FastNER--under developing) and character-based rules (FastCNER). It is licensed under the Apache License, Version 2.0.

Install:

pip install PyFastNER

Examples:

Here is a simiple example of using external dictionary to find matches in an input string. It will return a dictionary of spans grouped by the named entity types.

from PyFastNER import FastCNER
# initiate fastner using external rule file
fastner = FastCNER('conf/crule_test.tsv')
# process an input string
res = fastner.processString('Pt came with fever, T 102.0F.')
# display processed results
for type in res.keys():
	for span in res[type]:
		print(span)

Here is another example if you need process a sentence within a document, where you just need to tell the offset of the sentence to the beginning of the document.

from PyFastNER import FastCNER
fastner = FastCNER('conf/crule_test.tsv')
res = fastner.processString('Pt came with fever, T 102.0F.',134)

For more examples, please refer to TestFastCNER.py

Release files for PyFastNER 1.0.10

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for PyFastNER 1.0.10
File	Size	Uploaded
PyFastNER-1.0.10.tar.gz	13.6 kB	Dec 13, 2023	Details

Built distribution (wheel)

Table of built distributions (wheels) for PyFastNER 1.0.10
File	Interpreter	ABI	Platform	Reset
PyFastNER-1.0.10-py3-none-any.whl 22.5 kB Dec 13, 2023	Python 3	none	any	Details

Total release size: 36.1 kB

Release files / PyFastNER-1.0.10.tar.gz

Download URL	PyFastNER-1.0.10.tar.gz
Size	13.6 kB
Tags	Source
SHA-256 checksum How to use checksums	`d477fc4f7acbb68f0c828b0bed478206092bb8190997dfda006993db5813b262`
BLAKE2b-256 checksum How to use checksums	`b359005d6eae903c7d9a1861e8fd813ea7a03d65ab8807e6877a3dc12e5902da`
Upload date	Dec 13, 2023
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/4.0.2 CPython/3.12.0`

Release files / PyFastNER-1.0.10-py3-none-any.whl

Download URL	PyFastNER-1.0.10-py3-none-any.whl
Size	22.5 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`259665dd8a84c907559645d2ce33ec807be0fb03664cfdb14a50aa6436cedb72`
BLAKE2b-256 checksum How to use checksums	`4190d9e2d9439ee6c22562a0b175e0fdd503304b60cec22b8a484955aeac7659`
Upload date	Dec 13, 2023
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/4.0.2 CPython/3.12.0`