The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Publications Copernicus
Articles | Volume XLII-5
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-5, 809–812, 2018
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-5, 809–812, 2018

  19 Nov 2018

19 Nov 2018


S. S. Kumar1, S. Reddy2, S. Saran2, and S. Kocaman3 S. S. Kumar et al.
  • 1Dept. Computer Science, Lovely Professional University, Phagwara, India
  • 2Geoinformatics Department, Indian Institute of Remote Sensing, Dehradun, India
  • 3Dept. Geomatics Engineering, Hacettepe University, Ankara, Turkey

Keywords: Application program interface, Social media trending, Location based analysis, Boilerplate code, Model View View-Model, Linguistic tagger, Where On Earth ID, Universal Resource Locator

Abstract. With as many as one third of population have become social media users exchanging information, thanks to low cost smart phones availability and social messaging platforms like Facebook, Twitter, WhatsApp, Instagram etc., TrendyInsight will play a major role on listening the public concern on local or regional issues bothering them for the government authorities to learn and prepare the remedial action. Similarly, businesses of consumer industries will be benefited from TrendyInsight for better customer services.

TrendyInsight – an application software designed and developed to work in iOS platform to capture trending topics from various social networks websites based on user location and present it in graphically on map. The application utilizes the uniqueness of each social network data through Application Program Interface (API) requests based on the trend. The application eliminates the need of user login to access the public data of these social networks. The application provides other experience enhancement features like showing user’s current location, updating the trending data every interval of time, searching for custom location, getting data for any custom hashtag, and settings tab to customize the type of data to be received from the social network APIs. The application was built on Swift 4 and deployment target operating system is iOS 11.