The widespread and different types of information on Twitter make it one of the most appropriate virtual environments for information monitoring and tracking. In this paper, the authors review different information analysis techniques; starting with the analysis of different hashtags, twitter's network-topology, event spread over the network, identification of influence, and finally analysis of sentiment. Future research and development work will be addressed.
CITATION STYLE
Anber, H., Salah, A., & El-Aziz, A. A. A. (2016). A Literature Review on Twitter Data Analysis. International Journal of Computer and Electrical Engineering, 8(3), 241–249. https://doi.org/10.17706/ijcee.2016.8.3.241-249
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