This paper delivers a new Twitter content classification framework based 16 existing Twitter studies and a grounded theory analysis of a personal Twitter history. It expands the existing understanding of Twitter as a multifunction tool for personal, profession, commercial and phatic communications with a split level classification scheme that offers broad categorization and specific sub categories for deeper insight into the real world application of the service.
D. Zhao, and M. Rosson. Workshop on Social Networking in Organizations, November 9, 2008, San Diego, (2008)File: http://research.ihost.com/cscw08-socialnetworkinginorgs/papers/zhao_cscw08_workshop.pdf.
C. Ullrich, K. Borau, H. Luo, X. Tan, L. Shen, and R. Shen. WWW '08: Proceeding of the 17th international conference on World Wide Web, page 705--714. New York, NY, USA, ACM, (2008)
T. Tran, N. Tran, A. Teka Hadgu, and R. Jäschke. Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing (EMNLP), Association for Computational Linguistics, (September 2015)
T. Tran, N. Tran, A. Teka Hadgu, and R. Jäschke. Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing (EMNLP), Association for Computational Linguistics, (September 2015)
T. Tran, N. Tran, A. Hadgu, and R. Jäschke. Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing (EMNLP), page 97--106. Association for Computational Linguistics, (September 2015)