dongjun-Lee/rnn-text-classification-tf
Tensorflow implementation of Attention-based Bidirectional RNN text classification.
This project helps data scientists, machine learning engineers, and NLP researchers build and evaluate models that automatically categorize text based on its content. You provide a dataset of text examples with their correct categories, and the project trains a model that can then take new, unclassified text and assign it a category, such as positive or negative sentiment. It's designed for those who work with textual data and need to automate its classification.
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Use this if you are a data scientist or NLP practitioner looking to quickly implement and benchmark an attention-based bidirectional RNN model for text classification tasks.
Not ideal if you are a non-technical user without experience in Python and TensorFlow, as this project requires programming knowledge to set up and run.
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Python
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Last pushed
Jun 15, 2018
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