This books analyses the state of the art of applied research in a challenging field: natural language understanding of financial news. Currently, thanks to the world-wide technological spreading, stock market traders are overwhelmed with financial information, both numerical and textual, which has to be analysed quickly in order to react before market conditions change again. While there are several well-known numerical techniques for quantitative data, textual information is usually manually examined investing a lot of precious human time. This book shows how information extraction can be suc.
"This books analyses the state of the art of applied research in a challenging field: natural language understanding of financial news. Currently, thanks to the world-wide technological spreading, stock market traders are overwhelmed with financial information, both numerical and textual, which has to be analysed quickly in order to react before market conditions change again. While there are several well-known numerical techniques for quantitative data, textual information is usually manually examined investing a lot of precious human time. This book shows how information extraction can be suc."@en
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