作者: Daniela Oelke , Peter Bak , Daniel A. Keim , Mark Last , Guy Danon
DOI: 10.1109/VAST.2008.4677359
关键词: Text mining 、 Computer science 、 Visualization 、 Information retrieval 、 Textual information 、 Face (geometry) 、 Statistical classification 、 Document summarization 、 Data visualization 、 Feature extraction
摘要: Thanks to the Web-related and other advanced technologies, textual information is increasingly being stored in digital form posted online. Automatic methods analyze such are becoming inevitable. Many of those based on quantitative text features. Analysts face challenge choose most appropriate features for their tasks. This requires effective approaches evaluation feature-engineering.