ImKeTT/PCAE

[KBS] PCAE: A Framework of Plug-in Conditional Auto-Encoder for Controllable Text Generation PyTorch Implementation

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Experimental

This project helps content creators, marketers, and data analysts generate text that can be precisely controlled for specific attributes like sentiment, tense, or topic. You input a dataset of text and labels (e.g., positive/negative reviews) and the system outputs new text samples that adhere to your desired control signals. This is ideal for anyone needing to create large volumes of custom-tailored text.

No commits in the last 6 months.

Use this if you need to generate text where you can specify and control qualities like sentiment, writing style, or subject matter.

Not ideal if you're looking for an off-the-shelf text generation tool without needing to train custom models or manage code.

content-generation marketing-copywriting text-analysis digital-marketing creative-writing-assistant
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 7 / 25
Maturity 16 / 25
Community 4 / 25

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Stars

26

Forks

1

Language

Python

License

MIT

Last pushed

Apr 10, 2023

Commits (30d)

0

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