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Titlebook: Practical Text Analytics; Maximizing the Value Murugan Anandarajan,Chelsey Hill,Thomas Nolan Book 2019 Springer Nature Switzerland AG 2019

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書目名稱Practical Text Analytics
副標題Maximizing the Value
編輯Murugan Anandarajan,Chelsey Hill,Thomas Nolan
視頻videohttp://file.papertrans.cn/754/753303/753303.mp4
概述Offers an easy-to-follow introduction to text analytics in business and management.Helps business practitioners increase their accessibility of information available in unstructured text data without
叢書名稱Advances in Analytics and Data Science
圖書封面Titlebook: Practical Text Analytics; Maximizing the Value Murugan Anandarajan,Chelsey Hill,Thomas Nolan Book 2019 Springer Nature Switzerland AG 2019
描述.This book introduces text analytics as a valuable method for deriving insights from text data. Unlike other text analytics publications, .Practical Text Analytics: Maximizing the Value of Text Data. makes technical concepts accessible to those without extensive experience in the field. Using text analytics, organizations can derive insights from content such as emails, documents, and social media.?.Practical Text Analytics. is divided into five parts. The first part introduces text analytics, discusses the relationship with content analysis, and provides a general overview of text mining methodology. In the second part, the authors discuss the practice of text analytics, including data preparation and the overall planning process. The third part covers text analytics techniques such as cluster analysis, topic models, and machine learning. In the fourth part of the book, readers learn about techniques used to communicate insights from text analysis, including data storytelling. The final part of .Practical Text Analytics. offers examples of the application of software programs for text analytics, enabling readers to mine their own text data to uncover information..
出版日期Book 2019
關鍵詞Text parsing; Parsing; Text analytics methodology; Topic extraction; Text visualization; Text analytics s
版次1
doihttps://doi.org/10.1007/978-3-319-95663-3
isbn_softcover978-3-030-07080-9
isbn_ebook978-3-319-95663-3Series ISSN 2522-0233 Series E-ISSN 2522-0241
issn_series 2522-0233
copyrightSpringer Nature Switzerland AG 2019
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