cwordtm 0.6.4

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

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_submodule_info('viz', 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)

Demo

Usage demo file with output:

1. On BBC News: CWordTM_BBC.pdf

2. On Chinese Bible (CUV): CWordTM_CUV.pdf

Documentation

cwordtm documentation can be reached from: https://cwordtm.readthedocs.io

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 Dr. Johnny Cheng. It is licensed under the terms of the MIT license.

Credits

cwordtm was created under the guidance of Jehovah, the Almighty God.