ShaneTian/TextCNN
TextCNN by TensorFlow 2.0.0 ( tf.keras mainly ).
This project helps you automatically categorize short pieces of text into one of 18 predefined topics or categories. You provide a dataset of text examples, and it learns to classify them, outputting metrics like accuracy and precision to show how well it performs. This is useful for data scientists or machine learning engineers working on text classification tasks.
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Use this if you need a pre-built convolutional neural network (CNN) model to classify text efficiently, especially for tasks with a limited number of categories.
Not ideal if your text classification requires highly complex contextual understanding, very long documents, or you prefer to use other deep learning architectures like Transformers.
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61
Forks
12
Language
Python
License
GPL-3.0
Last pushed
Apr 29, 2019
Commits (30d)
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