Deceptive Text Identification and Generation Engine (DTIGE)
Deceptive Text Identification and Generation Engine (DTIGE)
- Documentation: https://dtige.entelecheia.ai
- GitHub: https://github.com/entelecheia/DTIGE
- PyPI: https://pypi.org/project/DTIGE
The Deceptive Text Identification and Generation Engine (DTIGE) is a novel language model framework that aims to mimic deceptive marketing materials through its generator component while its discriminator component assesses and improves its capability to recognize deceptive texts. The ultimate goal is to enhance both the detection of deceptive content and the understanding of deceptive practices in digital marketing, thus aiding in regulatory compliance and content moderation.
Changelog
See the CHANGELOG for more information.
Contributing
Contributions are welcome! Please see the contributing guidelines for more information.
License
This project is released under the MIT License.
Metadata
Release files for DTIGE 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| dtige-0.1.0.tar.gz | 3.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| dtige-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 8.2 kB
Release files / dtige-0.1.0.tar.gz
| Download URL | dtige-0.1.0.tar.gz |
|---|---|
| Size | 3.9 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Release files / dtige-0.1.0-py3-none-any.whl
| Download URL | dtige-0.1.0-py3-none-any.whl |
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| Size | 4.3 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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twine/3.8.0 pkginfo/1.10.0 readme-renderer/43.0 requests/2.31.0 requests-toolbelt/1.0.0 urllib3/2.2.1 tqdm/4.66.2 importlib-metadata/7.1.0 keyring/25.2.0 rfc3986/2.0.0 colorama/0.4.6 CPython/3.10.12
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