References: [1] Dzakovic, N., Dinkic, N., Jokovic, J., Stoimenov, L. (2016). Web Application for Mining, Storing, Processing and Geoanalysis Data from Twitter Social Network, YU INFO, Kopaonik, Serbia, (March). [2] https://dev.Twitter.com/rest/public, accessed on March 15th, 2017. [3] Huang, L., Li, Q., Yue, Y. (2010). Activity Identification from GPS Trajectories using Spatial Temporal POIs’ Attractiveness, *ACM SIGSPATIAL Workshop on Location Based Social Networks, San Jose, USA, p. 27-30. [4] Vukmirovic, M., Vanista Lazarevic, E. (2015). Competitiveness Express though Digital Data, in E. Vanista Lazarevic, M. Vukmirovic A. Krstic-Funurndzic, and A. Djukic (Eds.), Keeping up with Technologies to Improve Places, Newcastle upon Tyne: Cambridge cholras Publishing. [5] Furtado, A. S., Fileto, R., Renso, C. (2013). Assessing the Attractiveness of Places with Movement Data, Journal of Information and Data Management, 4 (2) 124-133, (June). [6] Breser, C., Zedlacher, S., Winkler, R. a. (2016). The Principle of Geotagging. Cross-linking Archival Sources with People and the City Through Digital Urban Places, ICiTy Conference, Valletta, Malta, 18-19 (April). [7] Hu, M., Liu, B. (2004). Mining Opinion Features in Customer Reviews, American Association for Artificial Intelligence. [8] Liu, B. (2012). Sentiment Analysis an d Opinion Mining. [9] Pandey, V., Krishnakumar Iyer, C. V. (2009). Sentiment Analysis of Microblog, CS 229: Machine Learning Final Projects, 2009 - cs229.stanford.edu [10] Language Detection API -https://detectlanguage.com/, last visited 15.03.2017. |