Enhancing RSS Feeds with Extracted Geospatial Information for Further Processing and Visualization
- 1.3k Downloads
Internet users are flooded with information and are thankful for help in categorizing and visualizing textual content. Geographical categorization is one of the most important criterion for filtering, grouping and prioritizing information as users are naturally more interested in local information. We describe a way to extract geographical information from textual content using natural language processing, and we display the information within a geographical context on maps and satellite images. Using the widely supported RSS format as the input format, this approach allows us to process content from nearly all online news sites and blogs.
KeywordsNatural Language Processing News Item Inverted Index Natural Language Text Social Bookmark
Unable to display preview. Download preview PDF.