Applied Text Mining

Applied Text Mining

Qamar, Usman; Raza, Muhammad Summair

Springer International Publishing AG

06/2024

494

Mole

9783031519161

Pré-lançamento - envio 15 a 20 dias após a sua edição

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Part 1: Text Mining Basics.- 1. Introduction to Text Mining.- 2. Text Processing.- 3. Text Mining Applications.- Part 2: Text Analytics.- 4. Feature Engineering for Text Representations.- 5. Text Classification.- 6. Text Clustering.- 7. Text Summarization and Topic Modeling.- 8. Taxonomy Generation and Dynamic Document Organization.- 9. Visualization Approaches.- Part 3: Deep Learning in Text Mining.- 10. Text Mining Through Deep Learning.- 11. Lexical Analysis and Parsing using Deep Learning.- 12. Machine Translation using Deep Learning.
Data Mining;Topic Modeling;Neural Networks;Text Mining;Deep Learning;Sentiment Analysis;Feature Engineering