潜在语义变量模型Latent Semantic Variable Models |
|
课程网址: | http://videolectures.net/slsfs05_hofmann_lsvm/ |
主讲教师: | Thomas Hofmann |
开课单位: | 谷歌公司 |
开课时间: | 2007-02-25 |
课程语种: | 英语 |
中文简介: | 在信息检索和自然语言处理的背景下, 潜在变量模型在建模和发现隐藏结构方面非常有用, 这些结构往往导致 "语义" 数据表示。本讲座将概述最流行的方法, 并讨论此类模型的可能应用范围, 包括语言建模、临时检索、文本分类和协作筛选。 |
课程简介: | In the context of information retrieval and natural language processing, latent variable models are quite useful in modeling and discovering hidden structure that often leads to "semantic" data representations. This talk will provide an overview of the most popular approaches and discuss the range of possible applications for such models, including language modeling, ad hoc retrieval, text categorization and collaborative filtering. |
关 键 词: | 信息检索; 自然语言; 语言建模 |
课程来源: | 视频讲座网 |
最后编审: | 2020-06-25:liush |
阅读次数: | 42 |