ImKeTT/PCAE
[KBS] PCAE: A Framework of Plug-in Conditional Auto-Encoder for Controllable Text Generation PyTorch Implementation
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.
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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.
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26
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Language
Python
License
MIT
Category
Last pushed
Apr 10, 2023
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