书目名称 | Practical Text Analytics | 副标题 | Maximizing the Value | 编辑 | Murugan Anandarajan,Chelsey Hill,Thomas Nolan | 视频video | | 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 | 丛书名称 | Advances in Analytics and Data Science | 图书封面 |  | 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 | 关键词 | Text parsing; Parsing; Text analytics methodology; Topic extraction; Text visualization; Text analytics s | 版次 | 1 | doi | https://doi.org/10.1007/978-3-319-95663-3 | isbn_softcover | 978-3-030-07080-9 | isbn_ebook | 978-3-319-95663-3Series ISSN 2522-0233 Series E-ISSN 2522-0241 | issn_series | 2522-0233 | copyright | Springer Nature Switzerland AG 2019 |
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