Machine Learning for Text
Text analytics is a field that lies on the interface of information retrieval, machine learning, and natural language processing. This book carefully covers a coherently organized framework drawn from these intersecting topics. The chapters of this book span three broad categories: 1. Basic algorith...
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| Language: | English |
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Cham :
Springer International Publishing : Imprint: Springer,
2018.
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| Edition: | 1st ed. 2018. |
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| Online Access: | https://doi.org/10.1007/978-3-319-73531-3 |
Table of 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.