Mineração de opiniões aplicada à análise de investimentos

  • Authors:
  • Thomas Jefferson P. Lopes;Gabriel Koji Lemos Hiratani;Fabrício J. Barth;Orlando Rodrigues, Jr.;Juliana Maraccini Pinto

  • Affiliations:
  • Centro Universitário Senac, Santo Amaro, São Paulo;Centro Universitário Senac, Santo Amaro, São Paulo;Centro Universitário Senac, Santo Amaro, São Paulo;Centro Universitário Senac, Santo Amaro, São Paulo;Centro Universitário Senac, Santo Amaro, São Paulo

  • Venue:
  • Companion Proceedings of the XIV Brazilian Symposium on Multimedia and the Web
  • Year:
  • 2008

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Abstract

Investors, before making an investment decision, rely on many sources of information, including the Web, which in current times has become an important mean of mass production and dissemination of information for the financial/stock market. In this work, we study techniques of Opinion Mining, applied to investment analysis, based on news sources disseminated on the Web, in order to achieve a better consumption and processing of this information, extracting the relevant part of the huge amount of unstructured data (text) generated on the Web.