A Review of Approaches for Keyphrase Extraction

Abstract

In this paper, a survey of approaches for Keyphrase Extraction (KE) is presented. KE is an important task for Text Mining (TM), Information Retrieval (IR) and Natural Language Processing (NLP). The main aim of KE is to extract the most important words in a text. This article introduces a survey of approaches for KE task. In addition to analysing KE approaches, KE studies for the Turkish language were also evaluated in a different section.