Merrouni, Z.A. and Frikh, B. and Ouhbi, B. (2016) Automatic keyphrase extraction: An overview of the state of the art. In: UNSPECIFIED.

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Keyphrases are useful for a variety of tasks in information retrieval systems and natural language processing, such as text summarization, automatic indexing, clustering/classification, ontology learning and building and conceptualizing particular knowledge domains, etc. However, assigning these keyphrases manually is time consuming and expensive in term of human resources. Therefore, there is a need to automate the task of extracting keyphrases. A wide range of techniques of keyphrase extraction have been proposed, but they are still suffering from the low accuracy rate and poor performance. This paper presents a state of the art of automatic keyphrase extraction approaches to identify their strengths and weaknesses. We also discuss why some techniques perform better than others and how can we improve the task of automatic keyphrase extraction. © 2016 IEEE.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Uncontrolled Keywords: Automatic indexing; Extraction; Indexing (materials working); Information retrieval; Information retrieval systems; Search engines, Accuracy rate; Keyphrase extraction; Knowledge domains; Ontology learning; Poor performance; State of the art; Text summarization, Natural language processing systems
Subjects: Computer Science
Divisions: SCIENTIFIC PRODUCTION > Computer Science
Depositing User: Administrateur Eprints Administrateur Eprints
Last Modified: 31 Jan 2020 15:46

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