categories in place and each document is assigned to exactly one of the specified categories. If any document does not use words from any category’s word list frequently enough to be considered significant, Piranha categorizes it as “unknown”. When Piranha clusters the articles, the clusters themselves do not change, but the bars depicted below each cluster’s folder icon are now color-coded to represent the ratios of categories to which their articles belong. This allows for further pattern identification, as a trend between two categories is immediately more noticeable due to the color coding. Following the above procedure, categories for specific types of cancer, for climate, and for genetics were created. Clusters were generated for different threshold values, different stop word combinations, and combinations of both stop word groups and varied threshold values. In each case, previously unidentified clusters that appeared to reveal an unusual trend were examined. Figure 4 depicts the representation of the cluster from Figure 3 with the category option being used. Piranha is also able to distinguish whether articles were all uploaded from the same place or if they were uploaded from many different locations. This allows users to utilize the document categories option. When this option is used, the bars depicted below each folder icon are color coded based on the origin of the articles included in that folder’s cluster. Like the regular categories’ color coding option, this gives an immediate visual representation of the relative makeup of each cluster. However, users may not simultaneously color code the document clusters with Piranha categories option and the document categories option.
categories in place and each document is assigned to exactly one of the specified categories. If any document does not use words from any category’s word list frequently enough to be considered significant, Piranha categorizes it as “unknown”. When Piranha clusters the articles, the clusters themselves do not change, but the bars depicted below each cluster’s folder icon are now color-coded to represent the ratios of categories to which their articles belong. This allows for further pattern identification, as a trend between two categories is immediately more noticeable due to the color coding. Following the above procedure, categories for specific types of cancer, for climate, and for genetics were created. Clusters were generated for different threshold values, different stop word combinations, and combinations of both stop word groups and varied threshold values. In each case, previously unidentified clusters that appeared to reveal an unusual trend were examined. Figure 4 depicts the representation of the cluster from Figure 3 with the category option being used. Piranha is also able to distinguish whether articles were all uploaded from the same place or if they were uploaded from many different locations. This allows users to utilize the document categories option. When this option is used, the bars depicted below each folder icon are color coded based on the origin of the articles included in that folder’s cluster. Like the regular categories’ color coding option, this gives an immediate visual representation of the relative makeup of each cluster. However, users may not simultaneously color code the document clusters with Piranha categories option and the document categories option.
Final%20Research%20Paper.docx