为文本流构建和可视化主题森林

Takayasu Fushimi, T. Satoh
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引用次数: 1

摘要

大量的文本,如新闻和博客文章、网页和科学文献,随着时间的推移被发布在网络上,通常被称为时间序列文档或文本流。对于每个文档,存在一些强相关或弱相关的文本。虽然这种相关性表现为科学文献之间的引用、博客文章之间的追溯、维基百科文章或网页之间的超链接等,但新闻文章之间的相关性并不总是明确规定的。建立相似网络的一个简单方法是计算新闻文章之间的相似度,并在相似的文章之间建立链接;然而,在相似网络中添加关于文章发布时间的信息是困难的。为了克服这个问题,我们提出了一个由两部分组成的框架:1)称为主题森林的树结构和2)它们的可视化。主题森林是通过语义上和时间上连接内聚文本,同时保持其发布顺序来构建的。我们使用一种称为极坐标嵌入的技术在极坐标上嵌入主题森林,为用户提供对文本流的有效访问。通过对实际新闻文本流的实验评估,我们证实了主题森林在语义和时间上保持了内聚性,极坐标嵌入实现了有效的可达性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Constructing and visualizing topic forests for text streams
A great deal of such texts as news and blog articles, web pages, and scientific literature are posted on the web as time goes by, and are generally called time-series documents or text streams. For each document, some strongly or weakly relevant texts exist. Although such relevance is represented as citations among scientific literatures, trackback among blog articles, hyperlinks among Wikipedia articles or web pages and so on, the relevance among news articles is not always clearly specified. One easy way to build a similarity network is by calculating the similarity among news articles and making links among similar articles; however, adding information about the posted times of articles to a similarity network is difficult. To overcome this problem, we propose a framework that consists of two parts: 1) tree structures called Topic Forests and 2) their visualization. Topic Forests are constructed by semantically and temporally linking cohesive texts while preserving their posted order. We provide effective access for users to text streams by embedding Topic Forests over the polar coordinates with a technique called Polar Coordinate Embedding. From experimental evaluations using the actual text streams of news articles, we confirm that Topic Forests semantically and temporally maintain cohesiveness, and Polar Coordinate Embedding achieves effective accessibility.
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