  Keyphrase extraction methods can provide insights into large collections of
documents such as social media posts. Existing methods, however, are less
suited for the real-time analysis of streaming data, because they are
computationally too expensive or require restrictive constraints regarding the
structure of keyphrases. We propose an efficient approach to extract keyphrases
from large document collections and show that the method also performs
competitively on individual documents.
