Image from Amazon.com
Image from Google Jackets
Machine learning for text.
Material type:
TextLanguage: English Publication details: Cham Switzerland Springer 2018.Edition: 1st editionDescription: pages cmISBN: - 9783319735306
- 006.31 AGG
Contents:
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.
| Item type | Current library | Collection | Call number | Status | Date due | Barcode |
|---|---|---|---|---|---|---|
General Books
|
CUTN Central Library Generalia | Non-fiction | 006.31 AGG (Browse shelf(Opens below)) | Available | 37556 |
Browsing CUTN Central Library shelves, Shelving location: Generalia, Collection: Non-fiction Close shelf browser (Hides shelf browser)
|
|
|
|
|
|
|
||
| 006.3 SHI Advanced Artificial Intelligence/ | 006.303 HIK A Multilingual Dictionary : | 006.303 HIK A Multilingual Dictionary : | 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.
There are no comments on this title.