A tool for stylistic device detection
Project description
FreeStylo - an easy-to-use stylistic device detection tool for stylometry
An easy-to-use package for detecting stylistic devices in text. This package is designed to be used in stylometry, the study of linguistic style.
For those proficient in python, this package provides a collection of approaches to detect stylistic devices in text. For those less proficient in python, this package provides a simple interface to detect stylistic devices in text with simple commands and user-friendly configuration.
For an example on usage, see example_chiasmus.sh
and the config file example_config.json
.
Installation
The package is available on PyPi and can be installed using pip.
piop install freestylo
Participation
The package is free and open-source software and contributions are very welcome. It is designed to be a living project that is constantly improved and extended. If you have implemented your own stylistic device detector, please consider contributing it to the package. Also, if you have any suggestions for improvements or if you find any bugs, please open an issue on the GitHub page.
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
Built Distribution
File details
Details for the file freestylo-0.1.0.tar.gz
.
File metadata
- Download URL: freestylo-0.1.0.tar.gz
- Upload date:
- Size: 12.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 129ef4d7728d1ed1894daeeabc0de0057708078cde97839cc4bb9d53c864722f |
|
MD5 | 4be66b4fd4e601834a9948c25a8a4ec2 |
|
BLAKE2b-256 | b4eaca442486a96dca86a2ffe10c60b056f37e59301dfe857c5bfacbdd4cdf29 |
File details
Details for the file freestylo-0.1.0-py3-none-any.whl
.
File metadata
- Download URL: freestylo-0.1.0-py3-none-any.whl
- Upload date:
- Size: 14.7 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | d16eff28cef507e7f93de4627c69fee8570a54561eab89976b3f19a8ad4a91c8 |
|
MD5 | 22eb1c6bbec7f44d480285a254d2f873 |
|
BLAKE2b-256 | 85ac0a3e918457a6c15980081ed0d55a2ec2269fceeb0d075ec658ba927f6b7d |