Quantifying the semantics of search behavior before stock market moves.

@article{Curme2014QuantifyingTS,
  title={Quantifying the semantics of search behavior before stock market moves.},
  author={Chester Curme and Tobias Preis and Harry Eugene Stanley and Helen Susannah Moat},
  journal={Proceedings of the National Academy of Sciences of the United States of America},
  year={2014},
  volume={111 32},
  pages={11600-5}
}
Technology is becoming deeply interwoven into the fabric of society. The Internet has become a central source of information for many people when making day-to-day decisions. Here, we present a method to mine the vast data Internet users create when searching for information online, to identify topics of interest before stock market moves. In an analysis of historic data from 2004 until 2012, we draw on records from the search engine Google and online encyclopedia Wikipedia as well as judgments… CONTINUE READING
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