GitHub / bissessk / Using-Sentiment-Analysis-to-Predict-Stock-Price-Movements-Using-LSTMs

Predicted the price movement of the Dow Jones, Apple, and Microsoft with 60% accuracy by experimenting with more than 100 ensembles of long-short term memory networks (LSTMs). NLP techniques were explored such as sentiment analysis to use as features in the model.

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Topics: deep-learning, deep-neural-networks, dropouts, lstms, recurrent-neural-networks, sentiment, stock-price-prediction

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