Tagtwitter
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Twitter Sentiment Analysis using combined LSTM-CNN Models
Combining CNNs and LSTMs for tweet sentiment analysis — the intuition behind each network, two stacked architectures (CNN-LSTM vs. LSTM-CNN), and why ordering the LSTM first wins, trained on 1.5M+ labeled tweets.
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Twitter Sentiment Analysis with Neural Networks
Hand-coding a Feed-Forward Neural Network from scratch to classify tweets as positive or negative, comparing Bayesian probabilities, Keras word embeddings, and a hand-built feature vector (~70% accuracy) against a Keras NN.
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