A Proposed Method of Literature Analysis Based on Natural Language Processing and Network Analysis

Yunqing Jiang, Patrick Cheong Iao Pang, Wen Wei Ang, Ying Lau

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The number of scientific publications is increasing each year, and researchers' demand for literature analysis is also growing. This study aims to propose a computer-aided literature analysis method based on natural language processing technology. Our seven-step method includes the tasks of literature search, data preprocessing, word frequency calculation, word extraction, word labeling, co-word analysis, and network visualization. Demonstrated with an empirical study for exploring the development of artificial intelligence in a medical area, this method can produce data and visualizations that help researchers to explore literature content based on their research objectives.

Original languageEnglish
Title of host publicationProceedings of the 2022 10th International Conference on Information Technology
Subtitle of host publicationIoT and Smart City, ICIT 2022
PublisherAssociation for Computing Machinery
Pages29-35
Number of pages7
ISBN (Electronic)9781450397438
DOIs
Publication statusPublished - 23 Dec 2022
Event10th International Conference on Information Technology: IoT and Smart City, ICIT 2022 - Virtual, Online, China
Duration: 23 Dec 202226 Dec 2022

Publication series

NameACM International Conference Proceeding Series

Conference

Conference10th International Conference on Information Technology: IoT and Smart City, ICIT 2022
Country/TerritoryChina
CityVirtual, Online
Period23/12/2226/12/22

Keywords

  • data visualization
  • literature analysis
  • natural language processing

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