Mining Text Data
Text mining applications have experienced tremendous advances because of web 2.0 and social networking applications. Recent advances in hardware and software technology have lead to a number of unique scenarios where text mining algorithms are learned. Mining Text Data introduces an important niche...
Other Authors: | , |
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Format: | eBook |
Language: | English |
Published: |
New York, NY
Springer New York
2012, 2012
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Edition: | 1st ed. 2012 |
Subjects: | |
Online Access: | |
Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- An Introduction to Text Mining
- Information Extraction from Text
- A Survey of Text Summarization Techniques
- A Survey of Text Clustering Algorithms
- Dimensionality Reduction and Topic Modeling
- A Survey of Text Classification Algorithms
- Transfer Learning for Text Mining
- Probabilistic Models for Text Mining
- Mining Text Streams
- Translingual Mining from Text Data
- Text Mining in Multimedia
- Text Analytics in Social Media
- A Survey of Opinion Mining and Sentiment Analysis
- Biomedical Text Mining: A Survey of Recent Progress
- Index