ELSKE: Efficient Large-Scale Keyphrase Extraction
Information Retrieval
2021-09-16 v1
Abstract
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.
Cite
@article{arxiv.2102.05700,
title = {ELSKE: Efficient Large-Scale Keyphrase Extraction},
author = {Johannes Knittel and Steffen Koch and Thomas Ertl},
journal= {arXiv preprint arXiv:2102.05700},
year = {2021}
}