Papers by Bastiaan Bruinsma

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Challenge:	Using word embeddings, we study sudden semantic shifts that occur when a sudden event radically changes public opinion on a topic.
Approach:	They use word embeddings to study how Twitter associations evolve . they find domain knowledge and data selection are of prime importance when using word embeds to understand semantic shifts.
Outcome:	The proposed method validates associations on Twitter with NATO in real-world events but is difficult to distinguish between noise and real-time signals.