Machine learning for text/ Charu C Aggarwal
Material type:
TextPublication details: Cham: Springer Nature, 2018Description: xxiii, 493 pages, 25 cmISBN: - 9783319735306
- 006.31 Ag266
| Item type | Current library | Call number | Status | Notes | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|---|
| Books | ISI Library, Kolkata | 006.31 Ag266 (Browse shelf(Opens below)) | Available | Gifted by Prof. Amita Pal | C27487 |
Browsing ISI Library, Kolkata shelves Close shelf browser (Hides shelf browser)
| 006.3088610695 Sa187 Decoding artificial intelligence for physicians/ | 006.31 Ab122 Data mining: a heuristic approach | 006.31 Af257 Genetic algorithms and genetic programming: modern concepts and practical applications/ | 006.31 Ag266 Machine learning for text/ | 006.31 Al456 Introduction to machine learning / | 006.31 An628 Computational learning theory | 006.31 Av948 Learning systems |
Includes bibliography and index
Machine learning for text: an introduction -- Text preparation and similarity computation -- Matrix factorization and topic modeling -- Text clustering -- Text classification: basic models -- Linear classification and regression for text -- Classifier performance and evaluation -- Joint mining with heterogeneous data -- Information retrieval and search engines -- text sequence modeling and deep learning -- Text summarization -- Information extraction -- Opinion mining and sentiment analysis -- text segmentation and event detection
This textbook covers machine learning topics for text in detail. Since the coverage is extensive,multiple courses can be offered from the same book, depending on course level. Even though the presentation is text-centric, Chapters 3 to 7 cover machine learning algorithms that are often used indomains beyond text data. Therefore, the book can be used to offer courses not just in text analytics but also from the broader perspective of machine learning
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