Key phrase extraction method using word embedding

Abstract

Keyphrase extraction is focused on the automatic identification of a set of representative phrases from a document that concisely summarize its content. These key phrases, typically one to four words long, capture the core ideas and main topics of the document, effectively summarizing its content. The process helps in indexing, categorizing, and retrieving documents efficiently, enhancing information retrieval systems. By reflecting the main themes discussed in the document, keyphrase extraction aids in understanding and managing large collections of text data, facilitating quick insights and decision-making.