The Journal of Machine Learning Research
Visualization of Biological Patterns in Event Detection and Tracking Based on SRP Algorithm
IV '05 Proceedings of the Ninth International Conference on Information Visualisation
A statistical approach to mechanized encoding and searching of literary information
IBM Journal of Research and Development
Annotating, extracting and reasoning about time and events
Proceedings of the 2005 international conference on Annotating, extracting and reasoning about time and events
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The goal of this paper is to provide a visual structure to view the temporal and thematic content of English news documents. This paper combines both information extraction techniques and visualization techniques to visualize the documents content. Topical information present in the documents are extracted by applying Booksteins model and by calculating the various measures associated with the model. Temporal information is extracted as date information from the documents. Later the extracted information is converted into a signal and both discrete and continuous wavelet transformations are applied over the signal. The content of the document is visualized at varying levels of detail by multi resolution analysis techniques available in wavelets. This gives a wavelet based visualization model which enables us to view the spread of topics across a document, the portions of the document that are most involved in topic description, and the contribution of documents in the corpus from the temporal perspective.