FNG-IE: an improved graph-based method for keyword extraction from scholarly big-data.

ABSTRACT: Keyword extraction is essential in determining influenced keywords from huge documents as the research repositories are becoming massive in volume day by day. The research community is drowning in data and starving for information. The keywords are the words that describe the theme of the whole document in a precise way by consisting of just a few words. Furthermore, many state-of-the-art approaches are available for keyword extraction from a huge collection of documents and are classified into three types, the statistical approaches, machine learning, and graph-based methods. The machine learning approaches require a large training dataset that needs to be developed manually by domain experts, which sometimes is difficult to produce while determining influenced keywords. However, this res

SUBMITTER: Tahir N 

PROVIDER: S-EPMC7959634 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature