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Handbook of Research on Opinion Mining and Text Analytics on Literary Works and Social Media

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Title: Handbook of Research on Opinion Mining and Text Analytics on Literary Works and Social Media
Description: Opinion mining and text analytics are used widely across numerous disciplines and fields in today's society to provide insight into people's thoughts, feelings, and stances. This data is incredibly valuable and can be utilized for a range of purposes. As such, an in-depth look into how opinion mining and text analytics correlate with social media and literature is necessary to better understand audiences. The Handbook of Research on Opinion Mining and Text Analytics on Literary Works and Social Media introduces the use of artificial intelligence and big data analytics applied to opinion mining and text analytics on literary works and social media. It also focuses on theories, methods, and approaches in which data analysis techniques can be used to analyze data to provide a meaningful pattern. Covering a wide range of topics such as sentiment analysis and stance detection, this publication is ideal for lecturers, researchers, academicians, practitioners, and students.
Authors: Pantea Keikhosrokiani, Moussa Pourya Asl
Resource Type: eBook.
Subjects: Literature--Data processing, Artificial intelligence, Data mining, Text processing (Computer science), Content analysis (Communication)--Data processing, Social media--Data processing, Big data
Categories: COMPUTERS / Data Science / Data Analytics, COMPUTERS / Internet / Social Media, COMPUTERS / Data Science / Machine Learning
Database: eBook Collection (EBSCOhost)
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  – Type: ebook-epub
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  Availability: 0
Header DbId: nlebk
DbLabel: eBook Collection (EBSCOhost)
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RelevancyScore: 1110
AccessLevel: 6
PubType: eBook
PubTypeId: ebook
PreciseRelevancyScore: 1109.74133300781
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  Data: Opinion mining and text analytics are used widely across numerous disciplines and fields in today's society to provide insight into people's thoughts, feelings, and stances. This data is incredibly valuable and can be utilized for a range of purposes. As such, an in-depth look into how opinion mining and text analytics correlate with social media and literature is necessary to better understand audiences. The Handbook of Research on Opinion Mining and Text Analytics on Literary Works and Social Media introduces the use of artificial intelligence and big data analytics applied to opinion mining and text analytics on literary works and social media. It also focuses on theories, methods, and approaches in which data analysis techniques can be used to analyze data to provide a meaningful pattern. Covering a wide range of topics such as sentiment analysis and stance detection, this publication is ideal for lecturers, researchers, academicians, practitioners, and students.
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  Data: <searchLink fieldCode="AR" term="%22Pantea+Keikhosrokiani%22">Pantea Keikhosrokiani</searchLink><br /><searchLink fieldCode="AR" term="%22Moussa+Pourya+Asl%22">Moussa Pourya Asl</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22Literature--Data+processing%22">Literature--Data processing</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+intelligence%22">Artificial intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Data+mining%22">Data mining</searchLink><br /><searchLink fieldCode="DE" term="%22Text+processing+%28Computer+science%29%22">Text processing (Computer science)</searchLink><br /><searchLink fieldCode="DE" term="%22Content+analysis+%28Communication%29--Data+processing%22">Content analysis (Communication)--Data processing</searchLink><br /><searchLink fieldCode="DE" term="%22Social+media--Data+processing%22">Social media--Data processing</searchLink><br /><searchLink fieldCode="DE" term="%22Big+data%22">Big data</searchLink>
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RecordInfo BibRecord:
  BibEntity:
    Classifications:
      – Code: 005.52
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Literature--Data processing
        Type: general
      – SubjectFull: Artificial intelligence
        Type: general
      – SubjectFull: Data mining
        Type: general
      – SubjectFull: Text processing (Computer science)
        Type: general
      – SubjectFull: Content analysis (Communication)--Data processing
        Type: general
      – SubjectFull: Social media--Data processing
        Type: general
      – SubjectFull: Big data
        Type: general
    Titles:
      – TitleFull: Handbook of Research on Opinion Mining and Text Analytics on Literary Works and Social Media
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Pantea Keikhosrokiani
      – PersonEntity:
          Name:
            NameFull: Moussa Pourya Asl
      – PersonEntity:
          Name:
            NameFull: Pantea Keikhosrokiani
      – PersonEntity:
          Name:
            NameFull: Moussa Pourya Asl
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2022
            – D: 28
              M: 02
              Type: profile
              Y: 2022
          Identifiers:
            – Type: isbn-print
              Value: 9781799895947
            – Type: isbn-electronic
              Value: 9781799895961
            – Type: isbn-electronic
              Value: 9781799895978
          Titles:
            – TitleFull: Handbook of Research on Opinion Mining and Text Analytics on Literary Works and Social Media
              Type: main
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