Abstract
In recent years, increasing attention has been paid to developing exceptional technologies for efficiently processing massive collection of data. This is essential in the research on smart city, which involves various types of data generated by different kinds of sensors (hard and soft). In this paper, we propose a cloud-based platform named City Digital Pulse (CDP), where a unified mechanism and extensible architecture are provided to facilitate the various aspects in big data analysis, ranging from data acquisition to data visualization. We instantiate the proposed system using multi-model data collected from two social networks, namely Twitter and Instagram, which can provide instant geo-tagged data. Data analysis is performed to detect human affections from user uploaded content. The information revealed from the collected social data can be visualized at multiple dimensions through a well-designed Web application. This allows users to easily sense changes in human affective status and identify the underlying reasons. This offers priceless opportunities to improve the decision making in many critical tasks using the detected attitudes in the social messages, such as promotion strategy for companies or new policy making for the government. Our experiment results confirm the effectiveness of the proposed architecture and algorithms.
Similar content being viewed by others
Notes
References
Agrawal R, Kadadi A, Dai X, Andres F (2015) Challenges and opportunities with big data visualization. In: Proceedings of the 7th International Conference on Management of computational and collective intelligence in digital ecosystems. ACM, pp 169–173
Borth D, Ji R, Chen T, Breuel T, Chang SF (2013) Large-scale visual sentiment ontology and detectors using adjective noun pairs. In: ACM MM
Buzzi M, Buzzi M, Franchi D, Gazzè D., Iervasi G, Marchetti A, Pingitore A, Tesconi M (2014) Big data: a survey. Mobile Netw Appl 19(2):171–209
Buzzi M, Buzzi M, Franchi D, Gazzè D., Iervasi G, Marchetti A, Pingitore A, Tesconi M (2016) Facebook: a new tool for collecting health data? Multimedia Tools Appl 1–24
Castro1 M, Jara1 AJ, Skarmeta AFG (2013) Smart lighting solutions for smart cities. In: International conference on advanced information networking and applications workshops
Chen H, Chiang RH, Storey VC (2012) Business intelligence and analytics: from big data to big impact. MIS Q 36(4):1165–1188
Chen T, Lu D, Kan MY, Cui P (2013) Understanding and classifying image tweets. In: ACM MM
Chen T, SalahEldeen HM, He X, Kan MY, Lu D (2015) VELDA: relating an image tweet’s text and images. In: AAAI
Costa C, Santos MY (2015) Improving cities sustainability through the use of data mining in a context of big city data. In: Proceedings of the world congress on engineering
Dave K, Lawrence S, Pennock DM (2003) Mining the peanut gallery: opinion extraction and semantic classification of product reviews. In: WWW
Dey S, Chakraborty A, Naskar S, Misra P (2012) Smart city surveillance: leveraging benefits of cloud data stores. In: IEEE 37th conference on local computer networks workshops (LCN Workshops)
Fan M, Sun J, Zhou B, Chen M (2016) The smart health initiative in china: the case of wuhan, hubei province. J Med Syst 40(3):62:1–62:17
Fang X, Zhan J (2015) Sentiment analysis using product review data. J Big Data 1–14
Fang Q, Sang J, Xu C, Hossain MS (2015) Relational user attribute inference in social media. IEEE Trans Multimedia 17(7):1031–1044
Go A, Bhayani R, Huang L (2009) Twitter sentiment classification using distant supervision. Processing 1–6
Hossain MS, Muhammad G, Al Hamid MF, Song B (2016) Audio-visual emotion recognition using big data towards 5G. Mobile Networks and Applications
Hossain MS, Muhammad G, Song B, Hassan MM, Alelaiwi A, Almari A (2015) Audio-visual emotion-aware cloud gaming framework. IEEE Trans Circuits Syst Video Technol 25(12):2105–2118
Hromic H, Phuoc DL, Serrano M, Antonic A, Zarko IP, Hayes C, Decker S (2015) Real time analysis of sensor data for the internet of things by means of clustering and event processing. In: ICC
Hsu CY, Yang CS, Yu LC, Lin CF, Yao HH, Chen DY, Lai KR, Chang PC (2015) Development of a cloud-based service framework for energy conservation in a sustainable intelligent transportation system. Int J Prod Econ 164:454–461
Hu X, Tang L, Tang J, Liu H (2013) Exploiting social relations for sentiment analysis in microblogging. In: WSDM
Hwang D, Jung JE, Park S, Nguyen HT (2015) Social data visualization system for understanding diffusion patterns on twitter: a case study on korean enterprises. Comput Inf 33(3):591–608
Jiang Y, Xu B, Xue X (2014) Predicting emotions in user-generated videos. In: AAAI
Khan Z, Anjum A, Kiani SL (2013) Cloud based big data analytics for smart future cities. In: International conference on utility and cloud computing
Lê Tu’n A, Quoc HNM, Serrano M, Hauswirth M, Soldatos J, Papaioannou T, Aberer K (2012) Global sensor modeling and constrained application methods enabling cloud-based open space smart services. In: 9th international conference on ubiquitous intelligence & computing and 9th international conference on autonomic & trusted computing (UIC/ATC), 2012, pp 196–203
Lombardia P, Giordanob S, Farouhc H, Yousefd W (2012) Modelling the smart city performance. Innov Eur J Soc Sci Res 25(2):137–149
Ma S, Liang Z (2015) Design and implementation of smart city big data processing platform based on distributed architecture. In: International conference on intelligent systems and knowledge engineering
Mell PM, Grance T (2011) Sp 800-145. the nist definition of cloud computing. Tech. rep., Gaithersburg, MD, United States
Mukkamala RR, Sørensen JI, Hussain A, Vatrapu R (2015) Detecting corporate social media crises on facebook using social set analysis. In: 2015 IEEE international congress on big data. IEEE, pp 745– 748
Mullen T, Collier N (2004) Sentiment analysis using support vector machines with diverse information sources. In: EMNLP
Niu T, Zhu S, Pang L, El-Saddik A (2016) Sentiment analysis on multi-view social data. In: MultiMedia modeling, pp 15–27
Nuaimi EA, Neyadi HA, Mohamed N, Al-Jaroodi J (2015) Applications of big data to smart cities. J Internet Serv Appl 6–25
Palmieri F, Ficco M, Pardi S, Castiglione A (2016) A cloud-based architecture for emergency management and first responders localization in smart city environments. Comput Electr Eng
Pang B, Lee L (2007) Opinion mining and sentiment analysis. Found Trends Inf Retr 2(1–2):1–135
Pang B, Lee L, Vaithyanathan S (2002) Thumbs up? Sentiment classification using machine learning techniques. In: EMNLP
Plotnikova N, Kohl M, Volkert K, Lerner A, Dykes N, Ermer H, Evert S (2015) KLUEless: polarity classification and association. SemEval 2015 workshop
Rosenthal S, Nakov P, Kiritchenko S, Mohammad SM, Ritter A, Stoyanov V (2015) SemEval-2015 task 10: sentiment analysis in twitter. SemEval 2015 workshop
Saif H, Fernandez M, He Y, Alani H (2013) Evaluation datasets for twitter sentiment analysis: a survey and a new dataset, the sts-gold. ESSEM workshop
Saini M, Alam KM, Guo H, Alelaiwi A, Saddik AE (2016) Incloud: a cloud-based middleware for vehicular infotainment systems. Multimedia Tools Appl 1–29
Scholl HJ, AlAwadhi S (2016) Smart governance as key to multi-jurisdictional smart city initiatives: The case of the ecitygov alliance. Soc Sci Inf 55(2):255–277
Su K, Li J, Fu H (2011) Smart city and the applications. In: ICECC
Sudhof M, Goméz Emilsson A, Maas AL, Potts C (2014) Sentiment expression conditioned by affective transitions and social forces. In: SIGKDD
Taherkordi A, Eliassen F (2016) Scalable modeling of cloud-based iot services for smart cities. In: 2016 IEEE international conference on pervasive computing and communication workshops, percom workshops 2016, pp 1–6
Tedeschi A, Benedetto F (2014) A cloud-based tool for brand monitoring in social networks. In: International conference on future internet of things and cloud (FiCloud), 2014, pp 541–546
Wen Y, Zhu X, Rodrigues JJPC, Chen CW (2014) Cloud mobile media: reflections and outlook. IEEE Trans Multimedia 16(4):885–902
Yamamoto S, Nakamura M, Matsumoto S (2012) Using cloud technologies for large-scale house data in smart city. In: International conference on cloud computing technology and science (CloudCom)
Yang J, He S, Lin Y, Lv Z (2015) Multimedia cloud transmission and storage system based on internet of things. Multimedia Tools Appl 1–16
Zanella A, Bui N, Castellani A, Vangelista L, Zorzi M (2014) Internet of things for smart cities. IEEE Internet Things J 1(1):22–32
Zhao Y, Qin B, Liu T, Tang D (2014) Social sentiment sensor: a visualization system for topic detection and topic sentiment analysis on microblog. Multimedia Tools Appl 1–18
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Li, Z., Zhu, S., Hong, H. et al. City digital pulse: a cloud based heterogeneous data analysis platform. Multimed Tools Appl 76, 10893–10916 (2017). https://doi.org/10.1007/s11042-016-4038-2
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11042-016-4038-2