Extraction of Location-Based Emotions from Photo Platforms

Part of the Lecture Notes in Geoinformation and Cartography book series (LNGC)


The adaptation of location-based services considers mainly objective information and collections of facts. Subjective components such as emotions and opinions can provide alternative views, e.g. for supporting decision making. Therefore, research on affect analysis is carried out by capturing and analyzing location-based emotions from user generated content. The chapter presents the approach of extracting emotions from photo titles, descriptions and tags of Flickr and Panoramio pictures. The obtained emotions are documented in the valence-arousal-space as well as in emotional maps of geospace. The distribution of emotions within the valence-arousal-space represents the kinds of emotions occurring in the study area of Dresden whereas the emotional map shows the geospatial distribution. The investigation results offer further potential for an analysis regarding influencing demographic factors and their effect on spatial applications in the field of tourism.


Emotional cartography User generated content Mobile applications 


  1. Abbasi A, Chen H, Thoms S, Fu T (2008) Affect analysis of web forums and blogs using correlation ensembles. IEEE Trans Knowl Data Eng 20(9):1168–1180Google Scholar
  2. Abdalla A, Weiser P (2011) Towards emotional and opinion-based layers in city GIS. In: Schrenk M et al. (ed) Real corp 2011. Change for stability. Lifecycles of cities and regions. The role and possibilities of foresighted planning in transformation processes. Proceedings of 16th international conference on urban planning, regional development and information societyGoogle Scholar
  3. Beaudoin J (2007) Flickr image tagging: patterns made visible. Bull Am Soc Inf Sci Technol 1(34):26–29Google Scholar
  4. Bell PA, Fusco ME (1986) Linear and curvilinear relationships between temperature, affect, and violence: reply to cotton. J Appl Soc Psychol 9(16):802–807CrossRefGoogle Scholar
  5. Bell PA, Greene TC (1984) Thermal stress: physiological comfort, performance and social effects of hot and cold environments. In: Evans GW (ed) Environmental stress. Cambridge, pp 75–104Google Scholar
  6. Bergner BS, Zeile P, Papastefanou G, Rech W, Streich B (2011) Emotional barrier-GIS. A new approach to integrate barrier-free planning in urban planning processes. In: Schrenk M et al (ed) Real corp 2011. Change for stability. Lifecycles of cities and regions. The role and possibilities of foresighted planning in transformation processes. Proceedings of 16th international conference on urban planning, regional development and information societyGoogle Scholar
  7. Bradley MM, Lang PJ (2010) Affective norms for english words (ANEW): stimuli, instruction manual and affective ratings. Technical report C-2, University of FloridaGoogle Scholar
  8. Bronzaft AL (2002) Noise pollution: a hazard to physical and mental well-being. In: Bechtel RB, Ts’erts’Churchman A (ed) Handbook of environmental psychology. New York, pp 499–510Google Scholar
  9. Budhathoki NJ, Bruce B, Nedovic-Budic Z (2008) Reconceptualizing the role of the user of spatial data infrastructure. GeoJournal 72(3–4):149–160CrossRefGoogle Scholar
  10. Budhathoki NR (2010) Participants’ motivations to contribute geographic information in an online community. Abstract of doctoral dissertation, University of Illinois at Urbana-ChampaignGoogle Scholar
  11. Choudhury MD, Feldman M, Amer-Yahia S, Golbani N, Lempel R, Yu C (2010) Automatic construction of travel itineraries using social breadcrumbs. Hypertext 10. Proceedings of the 21st ACM conference on hypertext and hypermedia: Toronto, 13–16 June 2010Google Scholar
  12. Clark K (2011) Stories everywhere. Presentation at where 2.0 conference, California, 2011-04-20 Santa ClaraGoogle Scholar
  13. Csikszentmihalyi M (1990) Flow. HarperCollins, New YorkGoogle Scholar
  14. Egner S, Agüeras-Netz J (2008) Emotionen online messen. Planung and analyse, Zeitschrift für Marktforschung und Marketing 1Google Scholar
  15. Esuli A, Baccianella S, Sebastiani F (2010) SentiWordNet 3.0: an enhanced lexical resource for sentiment analysis and opinion mining. de Pauw G (ed) Proceedings of the second workshop on african language technology (AfLaT 2010) held in collocation with the seventh international conference on language resources and evaluation (LREC 2010); May 18, 2010 VallettaGoogle Scholar
  16. Fehr B, Russell JA (1984) Concept of emotion viewed from a prototype perspective. J Exp Psychol Gen 3(113):464–486CrossRefGoogle Scholar
  17. Fiehler R (1990) Kommunikation und emotion. theoretische und empirische untersuchungen zur rolle von emotionen in der verbalen interaktion. Walter de Gruyter, BerlinGoogle Scholar
  18. Francisco V, Hervás R (2007) EmoTag: automated mark up of affective information in texts. In: EUROLAN 2007 summer school, proceedings of the doctoral consortium 5–12Google Scholar
  19. Francisco V, Gervás P, Peinado F (2010) Ontological reasoning for improving the treatment of emotions in text. Knowl Inf Syst 3(25):421–443CrossRefGoogle Scholar
  20. Fries N (1996) Grammatik und emotion. Sprache und pragmatik 38:1–39Google Scholar
  21. Gallagher W (2007) The power of place. How our surroundings shape our thoughts, emotions, and actions. Harper Perennial, New YorkGoogle Scholar
  22. Gartner G, Ortag F (2011) Emotional mapping for migrants—using cartography for integration efforts. In: Schrenk M et al. (ed) Real corp 2011. Change for stability. Lifecycles of cities and regions. The role and possibilities of foresighted planning in transformation processes. Proceedings of 16th international conference on urban planning, regional development and information societyGoogle Scholar
  23. Girardin F, Calabrese F, Fiore FD, Ratti C, Blat J (2008) Digital footprinting: uncovering tourists with user-generated content. IEEE Pervasive Comput 4(7):36–43CrossRefGoogle Scholar
  24. Golder SA, Huberman BA (2006) Usage patterns of collaborative tagging systems. J Inf Sci 32(2):198–208CrossRefGoogle Scholar
  25. Goodchild M (2007) Citizens as voluntary sensors: spatial data infrastructure in the world of web 2.0. Int J Spatial Data Infrastruct Res 2:24–32Google Scholar
  26. Izard CE (1977) Human emotions. Plenum Press, New YorkCrossRefGoogle Scholar
  27. Izard CE (2009) Emotion theory and research: highlights, unanswered questions, and emerging issues. Annu Rev Psychol 1(60):1–25CrossRefGoogle Scholar
  28. Jahr S (2000) Emotionen und emotionsstrukturen in sachtexten. Ein interdisziplinärer ansatz zur qualitativen und quantitativen beschreibung der emotionalität von texten. de Gruyter, BerlinGoogle Scholar
  29. Kaplan R, Kaplan S (1989) The experience of nature: a psychological perspective. Cambridge University Press, New YorkGoogle Scholar
  30. Kipp MEI (2007) @toread and cool: tagging for time, task and emotion. In: Proceedings information architecture summit 2007, Las Vegas, 22–26 March 2007Google Scholar
  31. Kisilevich S, Rohrdantz C, Keim D (2010) Beautiful picture of an ugly place. Exploring photo collections using opinion and sentiment analysis of user comments. Proceeding of the international multiconference on computer science and information technology, Wisła 419–428 18–20, October 2010Google Scholar
  32. Klettner S, Huang H, Schmidt M (2012) EmoMap—considering emotional responses to space for enhancing LBS. In: Gartner GF, Ortag F (eds) Advances in location-based services, 8th international symposium on location-based services, Vienna 2011Google Scholar
  33. Korpela K (2002) Children’s environment. In: Bechtel RB, Ts’erts’Churchman A (eds) Handbook of environmental psychology. New York, pp 363–373Google Scholar
  34. Kroeber-Riel W, Weinberg P, Gröppel-Klein A (2009) Konsumentenverhalten. Vahlen, MünchenGoogle Scholar
  35. Lang PJ, Greenwald MK, Bradley MM, Hamm AO (1993) Looking at pictures: affective, facial, visceral and behavioral reactions. Psychophysiology 30:261–273CrossRefGoogle Scholar
  36. Mackerron G, Mourato S (2011) Happiness is greater in natural environments. Under SubmissionGoogle Scholar
  37. Mau G (2009) Die bedeutung der emotionen beim besuch von online-shops. Messung, determinanten und wirkungen. Gabler, WiesbadenGoogle Scholar
  38. Miller FP, Vandome AF, Mcbrewster J (2009) Geotagging. VDM Publishing House Ltd., Beau Bassin-Rose HillGoogle Scholar
  39. Mody RN, Willis KS, Kerstein R (2009) WiMo: location-based emotion tagging. In: Milic-Frayling N et al. (eds) Proceedings of the 8th international conference on mobile and ubiquitous multimedia, Cambridge, 22–25 November 2009Google Scholar
  40. Nold C (2009) Emotional cartography. Technologies of the self.
  41. Ortag F, Huang H (2011) Location-based emotions relevant for pedestrian navigation. In: Proceedings of the 25th international cartographic conference, ParisGoogle Scholar
  42. Purves RS, Edwardes AJ, Wood J (2011) Describing place through user generated content. First Monday 9(16)Google Scholar
  43. Rorissa A (2010) A comparative study of Flickr tags and index terms in a general image collection. J Am Soc Inform Sci Technol 11(61):2230–2242CrossRefGoogle Scholar
  44. Russell JA (1980) A circumplex model of affect. J Pers Soc Psychol 39:1161–1178CrossRefGoogle Scholar
  45. Russell JA, Mehrabian A (1977) Evidence for a three-factor theory of emotions. J Res Pers 3(11):273–294CrossRefGoogle Scholar
  46. Schimmack U (1999) Strukturmodelle der Stimmungen: Rückschau, Rundschau und Ausschau. Psychologische Rundschau 50(2):90–97CrossRefGoogle Scholar
  47. Schwarz-Friesel M (2007) Sprache und Emotion. Francke, TübingenGoogle Scholar
  48. Sen S, Lam SK, Rashid AM, Cosley D, Frankowski D, Osterhouse J, Harper FM, Riedl J (2006) Tagging, communities, vocabulary, evolution. In: Hinds P, Martin D (eds) CSCW ‘06: proceedings of the 2006 20th anniversary conference on computer supported cooperative work, Banff, Alberta, Canada, 181–190 04–08 November 2006Google Scholar
  49. Siegel S, Hinson R, Krank M, Mccully J (1982) Heroin “overdose” death: contribution of drug-associated environmental cues. Science 4544(216):436–437CrossRefGoogle Scholar
  50. Sigurbjörnsson B, Van Zwol R (2008) Flickr tag recommendation based on collective knowledge. In: Ma W et al. (eds) Proceedings of the 17th international conference on world wide webGoogle Scholar
  51. Sjurts I (2011) Gabler Lexikon Medienwirtschaft. Gabler, WiesbadenCrossRefGoogle Scholar
  52. Suedfeld P (1991) Extreme and unusual environments. In: Stokols D, Altman I (eds) Handbook of environmental psychology. Malabar, pp 863–887Google Scholar
  53. Trimmel M (2003) Allgemeine psychologie: motivation, emotion. Kognition. Facultas, WienGoogle Scholar
  54. Valitutti A, Strapparava C, Stock O (2004) Developing affective lexical resources. PsychNology J 2(1):61–83Google Scholar
  55. Van Der Kolk BA, Mcfarlane AC, Weisæth L (1996) Traumatic stress. The effects of overwhelming experience on mind, body, and society. Guilford Press, New YorkGoogle Scholar
  56. Veitch R, Arkkelin D (1995) Environmental psychology. An interdisciplinary perspective. Prentice Hall, Englewood CliffsGoogle Scholar
  57. Võ ML-H, Conrad M, Kuchinke L, Hartfeld K, Hofmann MF, Jacobs AM (2009) The Berlin affective word list reloaded (BAWL-R). Behav Res Methods 41(2):534–538CrossRefGoogle Scholar
  58. Westerink JHDM, Ouwerkerk M, Overbeek TJM, Pasveer WF, De Ruyter B (2008) Introduction: probing experience. In: Westerink JHDM et al. (eds) Probing experience, from assessment of user emotions and behaviour to development of products. Springer, DordrehtGoogle Scholar
  59. Zafarani R, Cole WD, Liu H (2010) Sentiment propagation in social networks: a case study in livejournal. In: Chai S-K et al. (eds) Advances in social computing. Proceedings of third international conference on social computing, behavioral modeling, and prediction, SBP 2010, Bethesda, MD, USA, 30–31 March 2010Google Scholar
  60. Zheng Y-T, Zha Z-J, Chua T-S (2011) Research and applications on georeferenced multimedia: a survey. Multimedia Tools App 81:77–98CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  1. 1.Institute of CartographyTechnische Universität DresdenDresdenGermany

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