texta-crf-extractor
Project description
TEXTA CRF Extractor
Installation:
# Install without MLP
pip install texta-crf-extractor
# Install with MLP
pip install texta-crf-extractor[mlp]
Usage:
from texta_crf_extractor.crf_extractor import CRFExtractor
from texta_mlp.mlp import MLP
mlp = MLP(language_codes=["en"], default_language_code="en")
# prepare data
texts = ["foo", "bar"]
mlp_docs = [mlp.process(text) for text in texts]
# create extractor
extractor = CRFExtractor(mlp=mlp)
# train the CRF model
extractor.train(mlp_docs)
# tag something
extractor.tag("Tere maailm!")
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
texta-crf-extractor-1.0.4.tar.gz
(18.7 kB
view details)
File details
Details for the file texta-crf-extractor-1.0.4.tar.gz
.
File metadata
- Download URL: texta-crf-extractor-1.0.4.tar.gz
- Upload date:
- Size: 18.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.7.3
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 5611cdc65b1b775112bf53862ed36136cfda6025f1c695854dd724c366caf406 |
|
MD5 | 81bc848fee734d9d0c1562a707bb1707 |
|
BLAKE2b-256 | 802808cc7bfe831918a78b1db360abdd354cb3adc4ad460373238204b45ed4f4 |