Tuesday, November 29, 2011

Reaction: TileBars: Visualization of Term Distribution Information in Full Text Information Access

The representation of data using tilebars is used to represent data varying in frequency, distribution and length. The use of tiles within a rectangular bar helps in analyzing the documents in their entirety so that no part fo the paper is neglected and every part of the paper is given its due importance. The representation of information as tiles and use of gray scales to distinguish the frequency is like visualizing in four dimensions. After the visualization is done, the ability of a user to drill down on particular results by clicking on the tiles can help in locating specific information.
The technique helps in ranking of the documents based on various features of the term sets. I think the analysis based on the distribution of the queried terms helps in locating what the user is looking for in the document set. The representation in a sorted order and using relative importance is a structured and progressive approach in text analysis. The representation of articles is term sets based on importance would be helpful when combined with various other data mining techniques in narrowing down on user queries.