williamSYSU/CatGAN
Codes for Category-aware Generative Adversarial Networks (AAAI 2020)
This project helps researchers and developers working with text generation to create synthetic text that accurately reflects specific categories. It takes in existing categorized text data and generates new, diverse text samples that belong to those predefined categories. This is ideal for those in academic research or applied natural language processing who need to expand datasets or test models with category-specific text.
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Use this if you need to generate realistic, category-specific text for research or development purposes, such as expanding training datasets or creating synthetic data.
Not ideal if you are looking for a ready-to-use application for content creation or customer-facing text generation, as this is a research-oriented codebase.
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MIT
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Last pushed
Sep 04, 2020
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