entity-classification

Perform Entity Classification via two inputs: entity_names: list and input_tokens: list

Assume you wish to classify network_topology and you have these tokens extracted from your text:

[
    'edge',
    'network',
    'moderate',
    'cat5',
    'topology',
    'locate'
]

Use this code

from entity_classification import classify

classify(entity_names=['network_topology'], input_tokens=input_tokens)

The result will be

{
    'result': ['network_topology'],
    'tokens': ['network', 'topology']
}

Metadata

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

Source distribution for entity-classification 0.1.3
File	Size	Uploaded
entity-classification-0.1.3.tar.gz	4.5 kB	Nov 19, 2022	Details

Table of built distributions (wheels) for entity-classification 0.1.3
File	Interpreter	ABI	Platform	Reset
entity_classification-0.1.3-py3-none-any.whl 6.3 kB Nov 19, 2022	Python 3	none	any	Details

Total release size: 10.8 kB

Download URL	entity-classification-0.1.3.tar.gz
Size	4.5 kB
Tags	Source
SHA-256 checksum How to use checksums	`b146ac4ded1e5ec1e1cafbcd131a7c73e1d142c5ed82c0baf99f85defd108b5a`
BLAKE2b-256 checksum How to use checksums	`37cb2e381a4dc756e90528d6a9c8a235a845925093d8785e700ecdad2ed6f61b`
Upload date	Nov 19, 2022
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`poetry/1.1.13 CPython/3.8.5 Windows/10`

Download URL	entity_classification-0.1.3-py3-none-any.whl
Size	6.3 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`3cc851b430193309b55d073408620c157ad7f5a9dd67d100d08a768da6b5041f`
BLAKE2b-256 checksum How to use checksums	`3829cc608476f3224defb0b65fdcbc68180143854f8572d7092e6ed91a2fbae1`
Upload date	Nov 19, 2022
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`poetry/1.1.13 CPython/3.8.5 Windows/10`