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This chapter explores literature-based discovery using text mining. Section 5.1 outlines the early Swanson’s approach to literature-based discovery, Section 5.2 presents the CrossBee literature-based discovery methodology, by illustrating its ensemble-based bridging term (b-term) ranking and exploration approach. The chapter concludes with Section 5.3, which includes a Python tutorial allowing for simplified LBD experiment replicability and code reuse.

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Text Mining for Closed Discovery

  • 章节

  • 发表日期：

    2025年

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  • Nada Lavrač,
  • Bojan Cestnik,
  • Andrej Kastrin

摘要

This chapter explores literature-based discovery using text mining. Section 5.1 outlines the early Swanson’s approach to literature-based discovery, Section 5.2 presents the CrossBee literature-based discovery methodology, by illustrating its ensemble-based bridging term (b-term) ranking and exploration approach. The chapter concludes with Section 5.3, which includes a Python tutorial allowing for simplified LBD experiment replicability and code reuse.