xuyige/BERT4doc-Classification
Code and source for paper ``How to Fine-Tune BERT for Text Classification?``
This project provides methods and code for categorizing unstructured text, like news articles or customer reviews, into predefined groups. You input raw text data and it helps you configure a BERT model to output accurate classifications. This tool is for data scientists, natural language processing practitioners, or researchers who need to build high-performance text classification systems.
641 stars. No commits in the last 6 months.
Use this if you are working with large volumes of text data and need to accurately assign categories to them using advanced language models.
Not ideal if you need a simple, out-of-the-box solution without deep dives into model configuration or if you are not comfortable working with command-line tools and Python scripts.
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641
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Language
Python
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Apache-2.0
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Last pushed
Oct 19, 2021
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