This map shows location of articles that describe refugees (e.g: Refugees are, Asylum seekers are .. etc) and tag it either negative or positive/ neutral. The location of the article is extracted from the specific sentence that mentions refugees. If no location found, one location will be selected from the article randomly.
Disclaimer: The classifier used to tag articles as positive or negative is still under training which means some results might not be accurate. This should not be used to take actions in countries but to have an overview of the current related news.
Every group of nodes with the same color represent a topic. Sometimes topics intersect which explains why edges can be found between two different colors
This word cloud contains top 100 most common words occurring in articles after removing stop words. You can hover over each word to see the number of occurences.
Zooming into the network of words related to refugees (Ego Network). By chosing the word refugee as a root and looking into the most frequent words and their relations. Nodes in red are first degree nodes, while the yellow nodes are second. Thickness of edge represents the frequency of words appearin together
Hover on nodes to see how words are connected