Fast pandas-friendly text preprocessing utilities.
Project description
rapidtextprep
Fast, pandas-friendly text preprocessing utilities for common NLP cleanup tasks.
Install
uv pip install rapidtextprep
For local development:
uv sync
Usage
from rapidtextprep import clean_text, remove_stopwords
clean_text("RT @User: I CAN'T believe this cafe is 50% OFF!!!")
remove_stopwords("this movie is not good but very emotional")
import pandas as pd
from rapidtextprep import clean_text
texts = pd.Series(["I CAN'T wait!!!", "Visit https://example.com"])
cleaned = clean_text(texts)
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
rapidtextprep-0.1.0.tar.gz
(20.2 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file rapidtextprep-0.1.0.tar.gz.
File metadata
- Download URL: rapidtextprep-0.1.0.tar.gz
- Upload date:
- Size: 20.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.13.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
7a810f6d191dbe35d2bf96248a54ed3d10dbf6fec9ee714201fb3b86c29533c8
|
|
| MD5 |
e772c4fe0075ebda940bb7380883caa6
|
|
| BLAKE2b-256 |
6bbd8a029814c59bff5ddc51b808bcdc9a6affb165f6e11707ca05a1ed671d49
|
File details
Details for the file rapidtextprep-0.1.0-py3-none-any.whl.
File metadata
- Download URL: rapidtextprep-0.1.0-py3-none-any.whl
- Upload date:
- Size: 24.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.13.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
910375d7a250d8a545089ea3854080f676095840262e218564479bc47a152c0d
|
|
| MD5 |
6bc6c4d3b30d39a5965b4e44bd10421e
|
|
| BLAKE2b-256 |
fd9a5727ba9fe76761e89a970e718e3e1307533292dda5d7bc99ea7d792e9dfe
|