Multidimensional Mining of Massive Text Data /
First, it enables acquiring multidimensional knowledge flexibly, as the cube structure allows users to easily identify task-relevant data along multiple dimensions at varied granularities and further distill multidimensional knowledge. Second, the algorithms for cube construction and exploitation re...
| Main Authors: | , |
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| Corporate Author: | |
| Format: | Book |
| Language: | English |
| Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2019
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| Edition: | 1st ed. 2019 |
| Series: | Synthesis Lectures on Data Mining and Knowledge Discovery,
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| Subjects: |
Table of Contents:
- Introduction
- Topic-Level Taxonomy Generation
- Term-Level Taxonomy Generation
- Weakly Supervised Text Classification
- Weakly Supervised Hierarchical Text Classification
- Multidimensional Summarization
- Cross-Dimension Prediction in Cube Space
- Event Detection in Cube Space
- Conclusions
- Bibliography
- Authors' Biographies