liuyaox/text_classification
Text Classification using 15 Deep Learning Models with both Multi-Label and Single-Label Task.
This project helps customer service teams or product managers automatically understand what customers care about from their questions or feedback. You provide raw text data, like user inquiries about mobile phones, and the system outputs which specific topics (e.g., 'Battery', 'Appearance', 'Network') are mentioned or prioritized in each message. It's designed for anyone needing to categorize text efficiently into one or many predefined categories.
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Use this if you need to automatically categorize text, such as customer feedback, product reviews, or survey responses, into one or multiple relevant topics or labels.
Not ideal if you're looking for a simple, out-of-the-box solution with pre-trained models for general use cases, as it requires some technical setup and data preparation.
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Language
Python
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Last pushed
Mar 12, 2020
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