randomrandom/deep-atrous-cnn-sentiment
Deep-Atrous-CNN-Text-Network: End-to-end word level model for sentiment analysis and other text classifications
This project helps quickly analyze text to understand its sentiment. You provide raw text data, such as customer reviews or social media comments, and it tells you whether the sentiment is positive or negative. This is for data analysts or researchers who need to automatically categorize large volumes of text based on opinion.
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Use this if you need a fast and accurate way to classify text by sentiment, especially with variable-length inputs.
Not ideal if you need a simple tool that works out-of-the-box for many different datasets without any setup or coding.
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64
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8
Language
Python
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Last pushed
Sep 27, 2017
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