simple nlp pipeline
Project description
SWT-NLP PACKAGE
KEYTERM EXTRACTION
install package
pip install swt-nlp
DEMO
load demo content
from swt.nlp.basis import keyterm_extractor
from tests.keyterm_extraction.test_keyterm_extraction_fit_modules import Mockup
# corpus in format list of plain text
small_content = Mockup.small_corpus()
# small_content[:5] = [
# 'อยากกระโดดน้ำที่แม่น้ำโขง',
# 'แม่น้ำที่จังหวัดกาญจนบุรีนี่สุดยอดมาก',
# 'เหล้ามีหลายยี่ห้อ แสงโสม แม่น้ำโขงหรืออะไรก็มีหมดเลย',
# 'ข้อความนี้เกี่ยวกับชิมช็อปใช้',
# 'รัฐบาลผลักดันชิมช็อปใช้มากขึ้น']
# extract new terms
kt = keyterm_extractor()
kt.fit(small_content)
new_terms = kt.extract()
# new_terms = ['ชิมช็อปใช้', 'แม่น้ำโขง']
HOW TO BUILD A PACKAGE TO PYPI
prerequisite
pip install setuptools wheel tqdm twine
build and upload package
# preparing tar.gz package
python setup.py sdist
# uploading package to pypi server
python -m twine upload dist/{package.tar.gz} --verbose
install package
# install latest version
pip install swt-nlp --upgrade
# specific version with no cache
pip install swt-nlp==0.0.11 --no-cache-dir
install package by wheel
# build wheel
python setup.py bdist_wheel
# install package by wheel
# use --force-reinstall if needed
pip install dist/{package.whl}
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