Sökning: "David Evholt"

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  1. 1. Generative Adversarial Networks and Natural Language Processing for Macroeconomic Forecasting

    Master-uppsats, KTH/Matematisk statistik

    Författare :David Evholt; Oscar Larsson; [2020]
    Nyckelord :Machine learning; natural language processing; generative adversarial nets; GAN; LSTM; CNN; macroeconomics; S P500; unemployment; forecasting; Machine learning; natural language processing; generative adversarial nets; GAN; LSTM; CNN; macroeconomics; S P500; unemployment; forecasting;

    Sammanfattning : Macroeconomic forecasting is a classic problem, today most often modeled using time series analysis. Few attempts have been made using machine learning methods, and even fewer incorporating unconventional data, such as that from social media. In this thesis, a Generative Adversarial Network (GAN) is used to predict U.S. LÄS MER