Abstract
The variety of food including food choice and preference, food production, dietary intake and other have been done by previous researchers. Other than that, the implementation of visualization techniques has been used in visualizing the result and its findings regarding on food-related research. However, there is lack of understanding towards food-related research in Malaysia. Furthermore, the graphical view that had been illustrated is very limited which lead into the difficulty of understanding the pattern of food-related studies. Therefore, this paper purposely is to do an overview regarding on the visualization techniques that have been used in displaying the results and its finding. The methods that have been used in this study is by constructing the comparison table of visualization techniques such as tree map, heat map, canonical map, word cloud and semantic tree. The classification of visualization techniques also has been differentiated into four type of structures of visualization which are hierarchical, relational, textual and spatial. The aim of this study is to analyze the variety of visualization techniques. This study also is to identify the criteria of each visualization techniques such as size, color, latitude and longitude, vertices, edges and others. Lastly, this paper produces the conceptual framework of visualization techniques as expected outcome due to assist people in making decision in order to get the suitable of visualization technique based on the criteria that matches with its requirement.
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References
Vabø, M., Hansen, H.: The relationship between food preferences and food choice: a theoretical discussion. Int. J. Bus. Soc. Sci. 5(7), 145–157 (2014)
Pula, K., Parks, C.D., Ross, C.F.: Regulatory focus and food choice motives. Prevention orientation associated with mood, convenience, and familiarity. Appetite 78, 15–22 (2014)
Afzal, M.N.I., Lawrey, R., Anaholy, M.S., Gope, J.: A comparative analysis of the efficiency and productivity of selected food processing industries in Malaysia. Malays. J. Sustain. Agric. (MJSA) 2(1), 19–28 (2018)
Raji, M.N.A., Karim, S.A., Ishak, F.A.C., Arshad, M.M.: Past and present practices of the Malay food heritage and culture in Malaysia. J. Ethn. Foods 4(4), 221–231 (2017). LNCS Homepage, http://www.springer.com/lncs. Accessed 21 Nov 2016
Ng, C.Y., Karim, S.A.: Historical and contemporary perspectives of the Nyonya food culture in Malaysia. J. Ethn. Foods 3(2), 93–106 (2016)
Dixon, N., Jaki, B., Lagerweij, R., Mooij, M., Yudin, E.: FoodMood: measuring global food sentiment one tweet at a time. In: 2012 AAAI Workshop - Semantic Cities, no. Card, pp. 2–7 (2012)
Kim, Y., Jeong, S.R.: Visualizing the results of opinion mining from social media contents: case study of a noodle company. J. Intell. Inf. Syst. 20(4), 2288–4866 (2014)
Hingle, M., et al.: Collection and visualization of dietary behavior and reasons for eating using Twitter, vol. 15, pp. 1–16 (2013)
Lee, Y.J., Pennington-Gray, L., Kim, J.: Does location matter? Exploring the spatial patterns of food safety in a tourism destination. Tour. Manag. 71, 18–33 (2019)
Li, L.: Data visualization and retrieval based convenience store location model of fresh products, vol. 15, no. 3 (2017)
Vidal, L., Ares, G., MachÃn, L., Jaeger, S.R.: Using Twitter data for food-related consumer research: a case study on ‘what people say when tweeting about different eating situations’. Food Qual. Prefer. 45, 58–69 (2015)
Abbar, S., Mejova, Y., Weber, I.: You tweet what you eat: studying food consumption through Twitter (2014)
Yudin, E.: Data visualizing the story of food and emotion, pp. 1–6 (2011)
Merler, M., Smith, J.R.: Learning to make better mistakes: semantics-aware visual food recognition, pp. 172–176 (2016)
Fried, D., Surdeanu, M., Kobourov, S., Hingle, M., Bell, D.: Analyzing the language of food on social media, no. Section II (2014)
Meirelle, I.: Design for Information: An Introduction to the Histories, Theoris and Best Practices Behind Effective Information Visualizations. Rockport Publishers, Osceola (2013)
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The authors would like to thank Faculty of Computer and Mathematical Sciences, as well as Universiti Teknologi MARA for the facilities and financial support.
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Mazalan, N.M., Idrus, Z., Abdullah, N.A.S., Ibrahim, Z. (2019). An Overview of Visualization Techniques: A Survey of Food-Related Research. In: Berry, M., Yap, B., Mohamed, A., Köppen, M. (eds) Soft Computing in Data Science. SCDS 2019. Communications in Computer and Information Science, vol 1100. Springer, Singapore. https://doi.org/10.1007/978-981-15-0399-3_8
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