Machine learning for text.
Material type:
TextLanguage: English Publication details: Cham Switzerland Springer 2018.Edition: 1st editionDescription: pages cmISBN: - 9783319735306
- 006.31 AGG
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CUTN Central Library Generalia | Non-fiction | 006.31 AGG (Browse shelf(Opens below)) | Available | 37556 |
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| 006.303 HIK A Multilingual Dictionary : | 006.305 FRE Artificial Intelligence and Playable Media / | 006.31 ADR Introduction to Deep Learning / | 006.31 AGG Machine learning for text. | 006.31 ALP Introduction to machine learning / | 006.31 ALP Introduction to machine learning / | 006.31 ALP Introduction to machine learning / |
1 An Introduction to Text Analytics
2 Text Preparation and Similarity Computation
3 Matrix Factorization and Topic Modeling
4 Text Clustering
5 Text Classification: Basic Models
6 Linear Models for Classification and Regression
7 Classifier Performance and Evaluation
8 Joint Text Mining with Heterogeneous Data
9 Information Retrieval and Search Engines
10 Text Sequence Modeling and Deep Learning
11 Text Summarization
12 Information Extraction
13 Opinion Mining and Sentiment Analysis
14 Text Segmentation and Event Detection.