图 书 馆
多尺度的主题摄影Multiscale Topic Tomography |
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| 课程网址: | http://videolectures.net/kdd07_nallapati_mtt/ |
| 主讲教师: | Ramesh Nallapati |
| 开课单位: | 卡内基梅隆大学 |
| 开课时间: | 2007-09-14 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Modeling the evolution of topics with time is of great value in automatic summarization and analysis of large document collections. In this work, we propose a new probabilistic graphical model to address this issue. The new model, which we call the Multiscale Topic Tomography Model (MTTM), employs non-homogeneous Poisson processes to model generation of word-counts. The evolution of topics is modeled through a multi-scale analysis using Haar wavelets. One of the new features of the model is its modeling the evolution of topics at various time-scales of resolution, allowing the user to zoom in and out of the time-scales. Our experiments on Science data using the new model uncovers some interesting patterns in topics. The new model is also comparable to LDA in predicting unseen data as demonstrated by our perplexity experiments. |
| 关 键 词: | 多尺度的话题断层模型; 非齐次泊松过程; 科学数据的实验 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2020-06-01：吴雨秋(课程编辑志愿者) |
| 阅读次数: | 37 |