B3 FINANCIAL ASSETS DATA COLLECTION ON TWITTER: A PYTHON TEXT MINING ALGORITHM

Autores

  • Fábio Renato Maturana
  • Luiz Paulo Fávero
  • Fabiano Guasti Lima
  • Robson Braga
  • Marco Aurélio dos Santos

Resumo

This paper brings up an innovative element when seeking to develop a text mining algorithm in Python able to monitor and gather a certain set of posts on the Twitter social network made by groups of users who post, analyze, rank and discuss data and information about B3 financial assets. Considering such objective and the development process of such algorithm, the study adds a contribution to field of behavioral and corporate finance, as well as to the development of text mining algorithms, in order to make replications possible. The construct presented herein differs from the others in the literature since the scripts are demonstrated step-by-step, what serves as a guide to researchers, analysts, consultants, investors and programmers.

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Publicado

14/12/2022