Annotates corpuses for use in FastText over a Command Line Interface.
Raison D'être :thought_balloon:
This allows a large corpus to be annotated easily using a command line interface for purposes of being used in a FastText supervised classifier.
Architecture :triangular_ruler:
fasttext-annotator has a very simple architecture that basically reads each line of the file fed to it, and asks the user for an annotation given the options provided to it via the command line.
Dependencies :globe_with_meridians:
Installation :inbox_tray:
You can install this via the PyPi package manager, or manually.
Manually
- Run
python setup.py --install
Via Pypi
- Run
pip install fasttextannotator
Usage example :eyes:
In order to annotate a corpus of text, execute the following:
fasttextannotator [corpus-file] [output-file] [labels...]
You will then be presented with a line of text from the corpus, and a range of options based on the labels you provided.
License :memo:
The project is available under the MIT license.
Acknowledgements
- Icon in README banner is text by Chameleon Design from the Noun Project.
Release files for fasttextannotator 1.0.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| fasttextannotator-1.0.0-py2.7.egg | Legacy Egg format | - | - | Details |
Release files / fasttextannotator-1.0.0-py2.7.egg
| Download URL | fasttextannotator-1.0.0-py2.7.egg |
|---|---|
| Size | 4.3 kB |
| Tags | Egg |
|
SHA-256 checksum How to use checksums |
461ecfbdd918fd2164250a32e929c3fbb32c4f3eaca5dee6d093070f3c9d5404
|
|
BLAKE2b-256 checksum How to use checksums |
8ed586cb0face32cfa1096deab1612b866ef0360ae57f9a3f5dd1c03c30967f9
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/1.12.1 pkginfo/1.4.2 requests/2.21.0 setuptools/40.6.2 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/2.7.15
|