Comparative Study on Different Approaches in Keyword Extraction

Abstract

Since there is an increasing number of research documents published every year, the documents available on the Internet will also be increasing rapidly. This poses the need to categorize the available research articles into their respective domain to ease the search process and find their research documents under the specific domain. This classification is a tiresome and prolonged process, which can be avoided by using keywords and keyphrases. Keywords or keyphrases provides a summary or information described in a research document. The domain of a research paper can be determined based on extracted keywords and keyphrases. It is monotonous to manually extract keywords and key phrases [4]. Automatic extraction of keyword techniques helps to overcome this challenging task. The classification of these research papers can be achieved more efficiently by using the keywords applicable to a particular domain. This paper aims to compare key extraction algorithms such as TextRank, PositionRank, keyphrase extraction algorithm (KEA) and Multi-purpose automatic topic indexing (MAUI).