Comparison of different machine learning techniques on location extraction by utilizing geo-tagged tweets: A case study

Author:

Eligüzel Nazmiye,Çetinkaya Cihan,Dereli Türkay

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems

Reference56 articles.

1. Building a real-time geo-targeted event observation (geo) viewer for disaster management and situation awareness;Tsou;Lect. Notes Geoinf. Cartogr.,2017

2. C. Zhang, et al., GeoBurst+: effective and real-time local event detection in geo-tagged tweet streams, ACM Trans. Intell. Syst. Technol. Artic. 9(34) (2018) https://doi.org/10.1145/3066166.

3. Social media processes in disasters: implications of emergent technology use;Murthy;Soc. Sci. Res.,2017

4. Information entropy based event detection during disaster in cyber-social networks;Bhuvaneswari;J. Intell. Fuzzy Syst.,2019

5. C. Caragea, A. Squicciarini, S. Stehle, K. Neppalli, A. Tapia, Mapping moods: geo-mapped sentiment analysis during hurricane sandy, in: Proc. 11th Int. ISCRAM Conf., no. May, 2014, pp. 642–651 [Online]. Available: http://www.iscram.org/legacy/ISCRAM2014/papers/p29.pdf.

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