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This article explores various text preprocessing techniques for the extraction of keywords and key phrases. It delves into methods such as text lemmatization, stop-word removal, and number removal, comparing their efficacy with unprocessed text in keyword extraction. Evaluation is based on the ability of keyword sets to retrieve relevant news articles from search engine queries. The study employs multiple keyword extraction tools for comprehensive analysis.

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Text Preprocessing for Keyword and Key Phrase Extraction

  • 会议论文

  • 发表日期：

    2026年

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  • Alexandra Troshina

摘要

This article explores various text preprocessing techniques for the extraction of keywords and key phrases. It delves into methods such as text lemmatization, stop-word removal, and number removal, comparing their efficacy with unprocessed text in keyword extraction. Evaluation is based on the ability of keyword sets to retrieve relevant news articles from search engine queries. The study employs multiple keyword extraction tools for comprehensive analysis.