图 书 馆
大文本数据集的主题汇总Topic Summarization for Large Text Data Sets |
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| 课程网址: | http://videolectures.net/cidu2011_el_ghaoui_text_corpora/ |
| 主讲教师: | Laurent El Ghaoui |
| 开课单位: | 加州大学伯克利分校 |
| 开课时间: | 2012-06-27 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Sparse machine learning has recently emerged as powerful tool to obtain models of high-dimensional data with high degree of interpretability, at low computational cost. This paper posits that these methods can be extremely useful for understanding large collections of text documents, without requiring user expertise in machine learning. Our approach relies on three main ingredients: (a) multi-document text summarization and (b) comparative summarization of two corpora, both using sparse regression or classi fication; (c) sparse principal components and sparse graphical models for unsupervised analysis and visualization of large text corpora. We validate our approach using a corpus of Aviation Safety Reporting System (ASRS) reports and demonstrate that the methods can reveal causal and contributing factors in runway incursions. Furthermore, we show that the methods automatically discover four main tasks that pilots perform during flight, which can aid in further understanding the causal and contributing factors to runway incursions and other drivers for aviation safety incidents. |
| 关 键 词: | 计算机科学; 机器学习; 大文本数据集 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2020-07-06：heyf |
| 阅读次数: | 39 |