Abstract—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.

Index Terms—Big data, data analysis, social media, Twitter.

Hana Anber is with the Computer and Information Sciences Department, Institute of Statistical Studies and Research, Cairo University, Giza, Egypt.
Akram Salah is with the Computer Science Department, Faculty of Computers and Information, Cairo University, Giza, Egypt.
A. A. Abd El-Aziz is with the Information System and Technology Department, Institute of Statistical Studies and Research, Cairo University, Giza, Egypt.

Cite:Hana Anber, Akram Salah, A. A. Abd El-Aziz, "A Literature Review on Twitter Data Analysis," International Journal of Computer and Electrical Engineering vol. 8, no. 3, pp. 241-249, 2016.