Skip to main content

CWordTM: Towards a Topic Modeling Toolkit from Low-Code to Pro-Code

Project description

A Topic Modeling Toolkit from Low-code to Pro-code

Installation

$ pip install cwordtm

Usage

cwordtm can be used to perform some NLP pre-processing tasks, text exploration, including Chinese one, text visualization (word cloud), and topic modeling (BERTopic, LDA and NMF) as follows:

from cwordtm import meta, util, ta, tm, viz, pivot, quot

version Submodule

Provides some version information.

import cwordtm
print(cwordtm.__version__)

meta Submodule

Provides extracting source code of cwordtm module and adding timing and code-showing features to all functions of the module.

print(meta.get_module_info())

print(meta.get_module_info(detailed=True))

quot Submodule

Provides functions to extract the quotation source Scripture in OT based on the presribed NT Scripture.

cdf = util.load_word('cuv.csv')
crom8 = util.extract2(cdf, 'Rom 8')

quot.show_quot(crom8, lang='chi')

pivot Submodule

Provides a pivot table of the prescribed text.

cdf = util.load_word('cuv.csv')

pivot.stat(cdf, chi=True)

ta Submodule

Provides text analytics functions, including extracting the summarization of the prescribed text.

cdf = util.load_word('cuv.csv')
crom8 = util.extract2(cdf, 'Rom 8')

ta.summary_chi(crom8)

tm Submodule

Provides text modeling functions, including LDA, NMF and BERTopics modeling.

lda = tm.lda_process("web.csv", eval=True, timing=True)

nmf = tm.nmf_process("web.csv", eval=True, code=1)

btm = tm.btm_process("cuv.csv", chi=True, cat='ot', eval=True)

btm = tm.btm_process("cuv.csv", chi=True, cat='nt', eval=True, code=2)

util Submodule

Provides loading text and text preprocessing functions.

df = util.load_word()
cdf = util.load_word('cuv.csv')

df.head()
cdf.head()

rom8 = util.extract2(df, 'Rom 8')
crom8 = util.extract2(cdf, 'Rom 8')

viz Submodule

Wordcloud plotting from the prescribed text.

cdf = util.load_word('cuv.csv')

viz.chi_wordcloud(cdf)

Contributing

Interested in contributing? Check out the contributing guidelines. Please note that this project is released with a Code of Conduct. By contributing to this project, you agree to abide by its terms.

License

cwordtm was created by ????. It is licensed under the terms of the MIT license.

Credits

cwordtm was created under the guidance of Jehovah, the Lord.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

cwordtm-0.5.8.tar.gz (18.2 MB view details)

Uploaded Source

Built Distribution

cwordtm-0.5.8-py3-none-any.whl (18.2 MB view details)

Uploaded Python 3

File details

Details for the file cwordtm-0.5.8.tar.gz.

File metadata

  • Download URL: cwordtm-0.5.8.tar.gz
  • Upload date:
  • Size: 18.2 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.10.9

File hashes

Hashes for cwordtm-0.5.8.tar.gz
Algorithm Hash digest
SHA256 308c8999d38fea2791c1ee43f345d94b6c7fe9292d4d56d18dfb25f1efcd044f
MD5 74a325af858b7aa0028dabd25c0c8d20
BLAKE2b-256 ceb19ba637507b241899720b3c4e6fa27975ff37a0035a57b40e5417cacaa503

See more details on using hashes here.

File details

Details for the file cwordtm-0.5.8-py3-none-any.whl.

File metadata

  • Download URL: cwordtm-0.5.8-py3-none-any.whl
  • Upload date:
  • Size: 18.2 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.10.9

File hashes

Hashes for cwordtm-0.5.8-py3-none-any.whl
Algorithm Hash digest
SHA256 ca46e5a56bdc66c3c943cff99d530ab2944791786fd137adde0fa6554f2fdf2e
MD5 150cd91aaa48e485873be4e80de1079c
BLAKE2b-256 65edfff386d561a1c90c4fd7497ec1554265bc92050f9f3a8514ef46adb0ced5

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page