CWordTM Package (cwordtm 0.7.1)
===============================
A Topic Modeling Toolkit from Low-code to Pro-code
Installation
------------
.. code:: shell
$ 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:
.. code:: python
from cwordtm import meta, util, ta, tm, viz, pivot, quot
version Submodule
~~~~~~~~~~~~~~~~~
Provides some version information.
.. code:: python
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.
.. code:: python
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.
.. code:: python
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.
.. code:: python
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.
.. code:: python
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.
.. code:: python
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.
.. code:: python
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.
.. code:: python
cdf = util.load_word('cuv.csv')
viz.chi_wordcloud(cdf)
Demo
----
Usage demo file with output:
#. On BBC News: `CWordTM_BBC.pdf <https://github.com/drjohnnycheng/CWordTM/blob/main/Demo/CWordTM_BBC.pdf>`_
#. On Chinese Bible (CUV): `CWordTM_CUV.pdf <https://github.com/drjohnnycheng/CWordTM/blob/main/Demo/CWordTM_CUV.pdf>`_
Paper
-----
For a more detailed overview, you can read the demo paper: https://link.springer.com/chapter/10.1007/978-3-031-70242-6_4
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.
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