Leseprobe
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Practical Text Analytics
Murugan Anandarajan, Chelsey Hill, Thomas Nolan, et al.
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Springer International Publishing 
Naturwissenschaften, Medizin, Informatik, Technik / Informatik
Beschreibung
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.
Kundenbewertungen
Text mining, Text parsing, Text classification, Text analytics software, Theme Extraction, Topic extraction, Text analytics algorithms, Parsing, Text analytics methodology, Tag clouds, Content analysis perspectives, Unstructured Data Analysis, Sentiment tracking, Classification models, Singular Value Decomposition, Automated Content Analysis, Text visualization, Corpus Generation