ELSKE: Efficient Large-Scale Keyphrase Extraction
This addresses the need for real-time analysis of streaming data like social media posts, though it appears incremental as it builds on existing keyphrase extraction methods.
The authors tackled the problem of inefficient keyphrase extraction for large-scale and streaming data, proposing an efficient method that also performs competitively on individual documents.
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.