Fundamentals of Predictive Text Mining
This successful textbook on predictive text mining offers a unified perspective on a rapidly evolving field, integrating topics spanning the varied disciplines of data science, machine learning, databases, and computational linguistics. Serving also as a practical guide, this unique book provides he...
Κύριοι συγγραφείς: | , , |
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Συγγραφή απο Οργανισμό/Αρχή: | |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
London :
Springer London : Imprint: Springer,
2015.
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Έκδοση: | 2nd ed. 2015. |
Σειρά: | Texts in Computer Science,
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Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- Overview of Text Mining
- From Textual Information to Numerical Vectors
- Using Text for Prediction
- Information Retrieval and Text Mining
- Finding Structure in a Document Collection
- Looking for Information in Documents
- Data Sources for Prediction: Databases, Hybrid Data and the Web
- Case Studies
- Emerging Directions.