What multimedia sentiment analysis says about city liveability

Abstract

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.