Amazing technological breakthrough possible @S-Logix pro@slogix.in

Office Address

  • #5, First Floor, 4th Street Dr. Subbarayan Nagar Kodambakkam, Chennai-600 024 Landmark : Samiyar Madam
  • pro@slogix.in
  • +91- 81240 01111

Social List

Automatic Keyphrase Extraction: A Survey and Trends - 2020

Automatic Keyphrase Extraction: A Survey And Trends

Research Area:  Machine Learning

Abstract:

Due to the exponential growth of textual data and web sources, an automatic mechanism is required to identify relevant information embedded within them. The utility of Automatic Keyphrase Extraction (AKPE) cannot be overstated, given its widespread adoption in many Information Retrieval (IR), Natural Language Processing (NLP) and Text Mining (TM) applications, and its potential ability to solve difficulties related to extracting valuable information. In recent years, a wide range of AKPE techniques have been proposed. However, they are still impaired by low accuracy rates and moderate performance. This paper provides a comprehensive review of recent research efforts on the AKPE task and its related techniques. More concretely, we highlight the common process of this task, while also illustrating the various approaches used (supervised, unsupervised, and Deep Learning) and released techniques. We investigate the major challenges that such techniques face and depict the specific complexities they address. Besides, we provide a comparison study of the best performing techniques, discuss why some perform better than others and propose recommendations to improve each stage of the AKPE process.

Keywords:  

Author(s) Name:  Zakariae Alami Merrouni, Bouchra Frikh & Brahim Ouhbi

Journal name:  Journal of Intelligent Information Systems

Conferrence name:  

Publisher name:  Springer

DOI:  10.1007/s10844-019-00558-9

Volume Information:  volume 54, pages391–424 (2020)