Skip to main content

NLP Text perprocessor

Project description

TextPreprocessing

This is the beta release of TextPreprocessing library. This library currenly capable of cleansing your text data for modal training.

TextPreprocessing library can do the below actions:

* Expand general abbreviations

* Clear email ids in the text data

* Clear web URLs

* Clear html tags present in the text dataset

* Clear ordianl, cardinal numbers, date, person name, etc.

* Clear gibberish charsets

* Removes english stop words

* Lemetize the text

* Correct spelling errors.

We are enhancing this package on a regular basis and adding more flexible components to it in the upcoming releases. Please do update this package on frequently.

How to install this package?


pip install TextPreprocessing



  • Post installing the package, please install spacy en_core_web_md library.

python spacy download en_core_web_md

How to use the package?


>>> from TextPreprocessing.preprocess import preprocess

>>> obj = preprocess()

>>> obj.__version__

'2.2.1'

>>> texts = ["""Good morning Natalia A, here are the detailed items listed below:  Loan ID: PNIO-UIZD Store Invoice: NOT SENT (ONLY Affirm Transaction ID) Transaction ID: 0011473451  Please let me know of any other info needed to assist you in regards to this unfulfilled purchase.  Sincerely,  William Langford  Again, here is the credentials required to process my request, reference #: 210916-000538""", """Adam,  Sorry, I was out of town with limited network access but getting back to you now.  I don’t think I made myself clear enough before, I have had MyC loud Version 5 installed for over a year on the PR4100 but, there was a new version 5 update automatically installed on October 30, 2021 with version 5.18.117 and since that update, we have not been able to access the PR4100 locally through the network.  We can however access the PR4100 using the mycloud.com web access.  The PR4100 is connected to the internet with the Google Nest router and we are able to access the dashboard pages with no issues.  Please find the attached error we get after accessing the PR4100 a second time after reboot and any time thereafter.  Thank you in advance.  Brent D. Beck"""]

>>> obj.reset_start()

>>> results = list(map(lambda x: obj.cleanup(x, len(texts)), texts))

1/2

2/2



>>> print(results)

Output


['good morning detailed item list loan i d no did store voice send affirm transaction i d transaction i d 0011473451 let know into need assist regard unfulfilled purchase sincerely credentials require process request reference 210916 0538', 'sorry town limit network access get donaTMt think clear my loud version instal year new version update automatically instal version 18 117 update able access locally network access cloud com web access connect internet goose nest outer able access dashboard page issue find attach error access time report time thank advance']



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

TextPreprocessing-2.2.1.tar.gz (7.6 kB view details)

Uploaded Source

Built Distribution

TextPreprocessing-2.2.1-py3-none-any.whl (7.6 kB view details)

Uploaded Python 3

File details

Details for the file TextPreprocessing-2.2.1.tar.gz.

File metadata

  • Download URL: TextPreprocessing-2.2.1.tar.gz
  • Upload date:
  • Size: 7.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.6.0 importlib_metadata/4.5.0 pkginfo/1.8.1 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.1 CPython/3.9.7

File hashes

Hashes for TextPreprocessing-2.2.1.tar.gz
Algorithm Hash digest
SHA256 1b10756b08cb7a73d22a8cdf81f61ddcf860df67196a9b3c5c2b96957759b55e
MD5 b3bed8dc41034dab8f0d3c24848d9ef2
BLAKE2b-256 1c9b940c8ad5547fc1025551f728e2ce5815d3ffe29fdb9445c0b5ce130a6388

See more details on using hashes here.

File details

Details for the file TextPreprocessing-2.2.1-py3-none-any.whl.

File metadata

  • Download URL: TextPreprocessing-2.2.1-py3-none-any.whl
  • Upload date:
  • Size: 7.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.6.0 importlib_metadata/4.5.0 pkginfo/1.8.1 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.1 CPython/3.9.7

File hashes

Hashes for TextPreprocessing-2.2.1-py3-none-any.whl
Algorithm Hash digest
SHA256 087d43bb62cc43685cf72ad4e3c75bad1bbdf05a92325906d2a8afdde9af4581
MD5 2f39b8a8a1c7ff2672b797502eb5a739
BLAKE2b-256 d64d7aa38c21e71b73b9a057ea1716ef4881b26051ad3f76207c7e9a34031882

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