Practical Text Analytics Maximizing the Value of Text Data /
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 anal...
Κύριοι συγγραφείς: | , , |
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Συγγραφή απο Οργανισμό/Αρχή: | |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Cham :
Springer International Publishing : Imprint: Springer,
2019.
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Έκδοση: | 1st ed. 2019. |
Σειρά: | Advances in Analytics and Data Science,
2 |
Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- Chapter 1. Introduction to Text Analytics
- Chapter 2. Fundamentals of Content Analysis
- Chapter 3. Text Analytics Roadmap
- Chapter 4. Text Pre-Processing
- Chapter 5. Term-Document Representation
- Chapter 6. Semantic Space Representation and Latent Semantic Analysis
- Chapter 7. Cluster Analysis: Modeling Groups in Text
- Chapter 8. Probabilistic Topic Models
- Chapter 9. Classification Analysis: Machine Learning Applied to Text
- Chapter 10. Modeling Text Sentiment: Learning and Lexicon Models
- Chapter 11. Storytelling Using Text Data
- Chapter 12. Visualizing Results
- Chapter 13. Sentiment Analysis of Movie Reviews using R
- Chapter 14. Latent Semantic Analysis (LSA) in Python
- Chapter 15. Learning-Based Sentiment Analysis using RapidMiner
- Chapter 16. SAS Visual Text Analytics.