Using Tweets for Assigning Sentiments to Regions
Erik Tjong Kim Sang · 2014
We derive a sentiment lexicon for Dutch tweets and apply the lexicon for classifying Dutch tweets as positive, negative or neutral. The classifier enables us to test what regions in the Netherlands and Flanders express more positive sentiment on Twitter than others. The results reveal sentiment differences between Flemish and Dutch provinces, and expose municipalities which are a lot more negative than their neighborhood. The results of this study can be used for finding areas with local issues that might be expressed in tweets.