SenticNet / natural-language-based-financial-forecasting

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NLFF

This repo represents the main part of coding experiments and simulations of the following paper:

If you find it useful for your research, please cite it using the following BibTex entry:

@article{pictec,
	Author = {Picasso, Andrea and Merello, Simone and Ma, Yukun and Oneto, Luca and Cambria, Erik},
	Title = {Technical Analysis and Sentiment Embeddings for Market Trend Prediction},
	Journal = {Expert Systems with Applications},
	Volume = {135},
	Pages = {60-70},
	Year = {2019}
}

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Language:Jupyter Notebook 95.1%Language:Python 4.8%Language:MATLAB 0.0%Language:Roff 0.0%Language:Starlark 0.0%