LensingWikipedia: Parsing Text for the Interactive Visualization of Human History

被引：0
|
作者：
Vadlapudi, Ravikiran [1 ]
Siahbani, Maryam [1 ]
Sarkar, Anoop [1 ]
Dill, John [1 ]
机构：
[1] Simon Fraser Univ, Burnaby, BC V5A 1S6, Canada
来源：
2012 IEEE CONFERENCE ON VISUAL ANALYTICS SCIENCE AND TECHNOLOGY (VAST) | 2012年
关键词：
SEMANTIC ROLES;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Extracting information from text is challenging. Most current practices treat text as a bag of words or word clusters, ignoring valuable linguistic information. Leveraging this linguistic information, we propose a novel approach to visualize textual information. The novelty lies in using state-of-the-art Natural Language Processing (NLP) tools to automatically annotate text which provides a basis for new and powerful interactive visualizations. Using NLP tools, we built a web-based interactive visual browser for human history articles from Wikipedia.
引用
收藏
页码：247 / 248
页数：2
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