Analysis of emerging subjects in Twitter

Authors

  • José Luis Alonso Berrocal Universidad de Salamanca
  • Carlos G. Figuerola Universidad de Salamanca
  • Ángel F. Zazo Rodríguez Universidad de Salamanca

DOI:

https://doi.org/10.54886/scire.v22i2.4359

Keywords:

Twitter, Trending topics, Topic detection, Latent Dirichlett Allocation

Abstract

Analysis of emerging issues in social networks applies to the views expressing individual users, to control activities and acts of associations, analyze political campaigns or study the impact of advertising campaigns by companies. For detection of these issues the algorithm Latent Dirichlett Allocation shall apply to a set of profiles in the field of information and documentation, in order to know the topics covered in these groups and to assess whether the detection system is reliable. The approach works correctly, and provides reliable results.

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Published

2016-10-10

How to Cite

Alonso Berrocal, J. L., G. Figuerola, C., & Zazo Rodríguez, Ángel F. (2016). Analysis of emerging subjects in Twitter. Scire: Knowledge Representation and Organization (ISSNe 2340-7042; ISSN 1135-3716), 22(2), 67–73. https://doi.org/10.54886/scire.v22i2.4359

Issue

Vol.22, N.2 (2016)

Section

Articles

License

Copyright (c) 2016 Authors retain their copyright, but transfer the exploitation rights (reproduction, distribution, public communication and transformation) to the journal in a non-exclusive way and guarantee the right to the first publication of their work to the journal, which will be simultaneously subjected to the license CC BY-NC-ND. Authors take whole personal responsibility on fulfilling all the appropiate ethical codes and laws, and obtaining all the necessary copyright permissions regarding their articles. Institutional and self- archiving is allowed and encouraged.

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

© 1996- . Authors retain their copyright, but transfer the exploitation rights (reproduction, distribution, public communication and transformation) to the journal in a non-exclusive way and guarantee the right to the first publication of their work to the journal, which will be simultaneously subjected to the license CC BY-NC-ND. Authors take whole personal responsibility on fulfilling all the appropiate ethical codes and laws, and obtaining all the necessary copyright permissions regarding their articles. Institutional and self- archiving is allowed and encouraged.

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