ShawnyXiao/TextClassification-Keras
Text classification models implemented in Keras, including: FastText, TextCNN, TextRNN, TextBiRNN, TextAttBiRNN, HAN, RCNN, RCNNVariant, etc.
This helps classify text documents into predefined categories, such as spam detection, sentiment analysis, or topic labeling. You provide raw text data, and it outputs labels indicating what each piece of text is about. This is ideal for data scientists or machine learning engineers who need to build and evaluate robust text classification systems for various business applications.
812 stars. No commits in the last 6 months.
Use this if you need to experiment with and implement various deep learning models for text classification tasks using the Keras framework.
Not ideal if you are looking for a ready-to-use, off-the-shelf text classification solution without needing to engage with model development or code.
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812
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186
Language
Python
License
MIT
Last pushed
Mar 25, 2023
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