tushar-tj/Convolutional-Neural-Networks-for-Sentence-Classification
Implementation of Convolutional Neural Networks for Sentence Classification by Yoon Kim
This project helps you automatically categorize text, like determining if a customer review is positive or negative, or classifying a query into a specific topic. You input raw sentences or short text snippets, and it outputs the classification label (e.g., 'positive', 'negative', 'question', 'statement'). It's designed for anyone who needs to quickly and accurately sort or understand the sentiment or intent of large volumes of text, such as marketers analyzing feedback or customer service managers triaging support tickets.
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Use this if you need to build a system that automatically assigns categories or sentiment labels to sentences and short text passages from existing datasets.
Not ideal if you're looking for a user-friendly, no-code solution or if your primary goal is to classify very long documents or complex, multi-paragraph texts.
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Jupyter Notebook
License
MIT
Last pushed
May 18, 2020
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