What Multimedia Sentiment Analysis Says About City Liveability
Recent developments allow for sentiment analysis on multimodal social media content. In this paper we analyse content posted on microblogging and content-sharing platforms to estimate sentiment of the city’s neighbourhoods. The results of sentiment analysis are evaluated through investigation into the existence of relationships with the indicators of city liveability, collected by the local government. Additionally, we create a set of sentiment maps that may help discover existence of possible sentiment patterns within the city. This study shows several important findings. First, utilizing multimedia data, i.e., both visual and text content leads to more reliable sentiment scores. The microblogging platform Twitter further appears more suitable for sentiment analysis than the content-sharing website Flickr. However, in case of both platforms, the computed multimodal sentiment scores show significant relationships with the indicators of city liveability.
KeywordsMultimodal sentiment analysis Semantic concept detection Social multimedia City liveability
- 1.Bird, S.: Nltk: the natural language toolkit. In: Proceedings of the COLING/ACL on Interactive Presentation Sessions, pp. 69–72. Association for Computational Linguistics (2006)Google Scholar
- 2.Borth, D., Ji, R., Chen, T., Breuel, T., Chang, S.-F.: Large-scale visual sentiment ontology and detectors using adjective noun pairs. In: Proceedings of the 21st ACM International Conference on Multimedia, pp. 223–232. ACM (2013)Google Scholar
- 4.Dignum, K., Jansen, J., Sloot, J.: Growth and decline - demography as a driving force. PLAN Amsterdam 17(5), 25–27 (2011)Google Scholar
- 5.C.G.A.O. for Research and Statistics. Fact sheet leefbaarheidsindex periode 2010–2013, Febraury 2014. https://www.amsterdam.nl/publish/pages/502037/fact_sheet_6_leefbaarheidsindex_2010_-_2013_opgemaakt_def.pdf
- 7.Zheng, Y., Capra, L., Wolfson, O., Yang, H.: Urban computing: concepts, methodologies, and applications. ACM Trans. Intell. Syst. Technol. (TIST) 5(3), 38 (2014)Google Scholar