Technology and Investment

Vol.9 No.1(2018), Paper ID 82654, 12 pages

DOI:10.4236/ti.2018.91005

 

The Weighting Factors to Improve Predictability on Twitter

 

Jorge Arroba Rimassa, Rafael Muñoz Guillena, Fernando Llopis

 

Facultad de Ingeniería Ciencias Físicas y Matemáticas, Universidad Central del Ecuador, Quito, Ecuador
Departamento de Lenguajes y Sistemas Informáticos, Universidad de Alicante, Alicante, España
Departamento de Lenguajes y Sistemas Informáticos, Universidad de Alicante, Alicante, España

 

Copyright © 2018 Jorge Arroba Rimassa, Rafael Muñoz Guillena, Fernando Llopis et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

 

How to Cite this Article


Rimassa, J. , Guillena, R. and Llopis, F. (2018) The Weighting Factors to Improve Predictability on Twitter. Technology and Investment, 9, 68-79. doi: 10.4236/ti.2018.91005.

Copyright © 2020 by authors and Scientific Research Publishing Inc.

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