معرفی شرکت ها


berteley-0.0.8


Card image cap
تبلیغات ما

مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.

مشاهده بیشتر
Card image cap
تبلیغات ما

مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.

مشاهده بیشتر
Card image cap
تبلیغات ما

مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.

مشاهده بیشتر
Card image cap
تبلیغات ما

مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.

مشاهده بیشتر
Card image cap
تبلیغات ما

مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.

مشاهده بیشتر

توضیحات

Topic modeling for scientific articles
ویژگی مقدار
سیستم عامل -
نام فایل berteley-0.0.8
نام berteley
نسخه کتابخانه 0.0.8
نگهدارنده []
ایمیل نگهدارنده []
نویسنده Eric Chagnon, Ronald J. Pandolfi, Daniela Ushizima
ایمیل نویسنده echagnon@lbl.gov
آدرس صفحه اصلی https://github.com/lbl-camera/berteley
آدرس اینترنتی https://pypi.org/project/berteley/
مجوز BSD license
# BERTeley [![PyPI](https://badgen.net/pypi/v/berteley)](https://pypi.org/project/berteley/) [![License](https://badgen.net/pypi/license/berteley)](https://github.com/lbl-camera/berteley) [![Build Status](https://github.com/lbl-camera/berteley/actions/workflows/berteley-CI.yml/badge.svg)](https://github.com/lbl-camera/berteley/actions/workflows/berteley-CI.yml) [![Documentation Status](https://readthedocs.org/projects/berteley/badge/?version=latest)](https://berteley.readthedocs.io/en/latest/?badge=latest) [![Test Coverage](https://codecov.io/gh/lbl-camera/berteley/branch/main/graph/badge.svg?token=TTuxfR7buK)](https://codecov.io/gh/lbl-camera/berteley) Topic modeling for scientific articles * License: BSD license * Documentation: https://berteley.readthedocs.io. ## Installation ```commandline pip install berteley ``` ## Quick Start ```python # code snippet showing very basic usage ``` Topic Modeling Colab Notebook: TBD ## Features * A text pre-processing suite tailored for scientific articles. Including a curated stopword list. * 3 readily available language models that are trained on scientific articles. * Real time metric calculation for topic model comparison. ## Copyright Notice BERTeley Copyright (c) 2023, The Regents of the University of California, through Lawrence Berkeley National Laboratory (subject to receipt of any required approvals from the U.S. Dept. of Energy) and University of California, Berkeley. All rights reserved. If you have questions about your rights to use or distribute this software, please contact Berkeley Lab's Intellectual Property Office at IPO@lbl.gov. NOTICE. This Software was developed under funding from the U.S. Department of Energy and the U.S. Government consequently retains certain rights. As such, the U.S. Government has been granted for itself and others acting on its behalf a paid-up, nonexclusive, irrevocable, worldwide license in the Software to reproduce, distribute copies to the public, prepare derivative works, and perform publicly and display publicly, and to permit others to do so. ## License Agreement BERTeley Copyright (c) 2023, The Regents of the University of California, through Lawrence Berkeley National Laboratory (subject to receipt of any required approvals from the U.S. Dept. of Energy) and University of California, Berkeley. All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: (1) Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. (2) Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. (3) Neither the name of the University of California, Lawrence Berkeley National Laboratory, U.S. Dept. of Energy, University of California, Berkeley nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. You are under no obligation whatsoever to provide any bug fixes, patches, or upgrades to the features, functionality or performance of the source code ("Enhancements") to anyone; however, if you choose to make your Enhancements available either publicly, or directly to Lawrence Berkeley National Laboratory, without imposing a separate written license agreement for such Enhancements, then you hereby grant the following license: a non-exclusive, royalty-free perpetual license to install, use, modify, prepare derivative works, incorporate into other computer software, distribute, and sublicense such enhancements or derivative works thereof, in binary and source code form. ## Credits This package was created with [Cookiecutter](https://github.com/audreyr/cookiecutter) and the [audreyr/cookiecutter-pypackage](https://github.com/audreyr/cookiecutter-pypackage) project template.


نیازمندی

مقدار نام
- wheel
- bertopic
- pandas
- numpy
- gensim
- nltk
- spacy
- octis
- scipy
- joblib
- kaleido
- beautifulsoup4
- contractions
- alive-progress
- sphinx
- sphinx-rtd-theme
- myst-parser
- myst-nb
- sphinx-panels
- autodocs
- pytest
- scikit-learn
- codecov
- pytest-cov


زبان مورد نیاز

مقدار نام
>=3.8, <3.11 Python


نحوه نصب


نصب پکیج whl berteley-0.0.8:

    pip install berteley-0.0.8.whl


نصب پکیج tar.gz berteley-0.0.8:

    pip install berteley-0.0.8.tar.gz