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  <titleInfo>
    <title>Practical natural language processing</title>
    <subTitle>a comprehensive guide to building real-world NLP systems</subTitle>
  </titleInfo>
  <name type="personal">
    <namePart>Sowmya V. B.</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
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  </name>
  <name type="personal">
    <namePart>Majumder, Bodhisattwa</namePart>
    <role>
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  <name type="personal">
    <namePart>Gupta, Anju</namePart>
    <role>
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  <name type="personal">
    <namePart>Surana, Harshit</namePart>
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      <roleTerm type="text">author.</roleTerm>
    </role>
  </name>
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    <dateIssued encoding="marc">2020</dateIssued>
    <copyrightDate encoding="marc">2020</copyrightDate>
    <issuance>monographic</issuance>
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  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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  <physicalDescription>
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    <extent>xxvii, 424 p.</extent>
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  <abstract>"Many books and courses tackle natural language processing (NLP) problems with toy use cases and well-defined datasets.  But if you want to build, iterate, and scale NLP systems in a business setting and tailor them for particular industry verticals, this is your guide.  Software engineers and data scientists will learn how to navigate the maze of options available at each step of the journey.  Through the course of the book, authors Sowmya Vajjala, Bodhisattwa Majumder, Anuj Gupta, and Harshit Surana will guide you through the process of building real-world NLP solutions embedded in larger product setups.  You'll learn how to adapt your solutions for different industry verticals such as healthcare, social media, and retail."--</abstract>
  <note type="statement of responsibility">Sowmya Vajjala, Bodhisattwa Majumder, Anuj Gupta, and Harshit Surana.</note>
  <subject authority="lcsh">
    <topic>Natural language processing (Computer science)</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Application software</topic>
    <topic>Development</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Text data mining</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Machine learning</topic>
  </subject>
  <subject authority="fast">
    <topic>Application software</topic>
    <topic>Development</topic>
  </subject>
  <subject authority="fast">
    <topic>Machine learning</topic>
  </subject>
  <subject authority="fast">
    <topic>Natural language processing (Computer science)</topic>
  </subject>
  <subject authority="fast">
    <topic>Text data mining</topic>
  </subject>
  <classification authority="lcc">QA76.9.N38 S69 2020</classification>
  <identifier type="isbn">9781492054054</identifier>
  <identifier type="lccn">2021275226</identifier>
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    <recordCreationDate encoding="marc">211028</recordCreationDate>
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    <recordIdentifier source="OSt">22288915</recordIdentifier>
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