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文章基本信息

  • 标题:Natural Language Processing Workflow for Customer Request Analysis in a Company
  • 本地全文:下载
  • 作者:Alexander Smirnov ; Nikolay Teslya ; Nikolay Shilov
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2021
  • 卷号:54
  • 期号:1
  • 页码:1206-1211
  • DOI:10.1016/j.ifacol.2021.08.143
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractThe paper presents a comparison of existing text analysis systems from the point of view of their applicability to customer request analysis tasks for company needs. The tasks of named entity search and text classification for preliminary analysis of customer requests to the company’s support department are considered. In the course of work, five systems were considered and preliminarily evaluated in terms of the functionality required for solving the above tasks. The final assessment was based on training of the systems using a marked-up corpus of texts provided by the company’s support department.
  • 关键词:Keywordstext analysisnatural language processingmachine learningclassificationnamed entity recognition
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