ilivans/tf-rnn-attention
Tensorflow implementation of attention mechanism for text classification tasks.
This helps data scientists or machine learning engineers improve how their models categorize text. By incorporating an attention mechanism, it allows text classification models to focus on the most relevant parts of a document. You input text data, and it outputs a more accurate text classification model, often with improved interpretability.
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Use this if you are building text classification systems and want to enhance model accuracy and understand which words contribute most to a classification decision.
Not ideal if you are looking for a pre-trained, out-of-the-box text classification solution rather than a building block for model development.
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Python
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MIT
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Last pushed
Dec 20, 2019
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