BibRank: Automatic Keyphrase Extraction Platform Using Metadata

2023

MDPI Information 2023, 14(10), 549

Abdelrhman Eldallal, Eduard Barbu

PDF: https://www.mdpi.com/2078-2489/14/10/549/pdf?version=1696659894

Publisher: MDPI

Automatic Keyphrase Extraction involves identifying essential phrases in a document. These keyphrases are crucial in various tasks, such as document classification, clustering, recommendation, indexing, searching, summarization, and text simplification. This paper introduces a platform that integrates keyphrase datasets and facilitates the evaluation of keyphrase extraction algorithms. The platform includes BibRank, an automatic keyphrase extraction algorithm that leverages a rich dataset obtained by parsing bibliographic data in BibTeX format. BibRank combines innovative weighting techniques with positional, statistical, and word co-occurrence information to extract keyphrases from documents. The platform proves valuable for researchers and developers seeking to enhance their keyphrase extraction algorithms and advance the field of natural language processing.