danielegrattarola/twitter-sentiment-cnn
An implementation in TensorFlow of a convolutional neural network (CNN) to perform sentiment classification on tweets.
This helps data scientists or researchers classify the sentiment of tweets. You input a collection of tweets, and it tells you whether each tweet expresses positive or negative sentiment. This is ideal for someone looking to understand public opinion or social media trends related to specific topics or brands.
158 stars. No commits in the last 6 months.
Use this if you need to build and experiment with a convolutional neural network (CNN) for tweet sentiment analysis, allowing you to train models from scratch or fine-tune existing ones.
Not ideal if you need a plug-and-play solution for real-time, high-volume sentiment analysis without any model training or customization.
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158
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51
Language
Python
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Last pushed
Feb 08, 2018
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