Stock Prediction Using NLP and Deep Learning
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This document discusses a machine learning model developed by Google Brain to conduct research using machine learning and deep neural networks. It describes a binary classification task using DJIA stock data with a 80%/20% split for training and evaluating the ability of the model to predict if the DJIA Adj Close value rose or fell compared to the previous day. The text also provides an example of tokenization where a sentence is broken down into tokens to prepare the input for the model.
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![I like pizza
["I", "like", ＾pizza￣, "."]Tokenization
[ "i","like",￣pizza￣, ".","PAD","PAD"]Model Input
Original Text](https://image.slidesharecdn.com/nlpfinal-161213012046/85/Stock-Prediction-Using-NLP-and-Deep-Learning-9-320.jpg)
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