zhongyuchen/few-shot-text-classification
Few-shot binary text classification with Induction Networks and Word2Vec weights initialization
This project helps quickly classify short pieces of text, like customer reviews or social media posts, into two categories (e.g., positive/negative, spam/not spam) even when you have very few examples for the new categories you want to classify. It takes in existing labeled text data and outputs a model that can categorize new text, making it ideal for market researchers, product managers, or content moderators who need to react quickly to emerging topics or products.
109 stars. No commits in the last 6 months.
Use this if you need to perform binary text classification on new categories where you only have a handful of labeled examples for each category.
Not ideal if you have abundant labeled data for all your classification categories or if you need to classify text into more than two categories.
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109
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27
Language
Python
License
Apache-2.0
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Last pushed
Jul 25, 2024
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