Interactive visual analysis of clinical episodes
US-2015106022-A1 · Apr 16, 2015 · US
US9552346B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9552346-B2 |
| Application number | US-201414488424-A |
| Country | US |
| Kind code | B2 |
| Filing date | Sep 17, 2014 |
| Priority date | Dec 3, 2013 |
| Publication date | Jan 24, 2017 |
| Grant date | Jan 24, 2017 |
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A visualization of literary elements of a work of literature, such as a novel or short story, is generated from meta-data records representing a digital work of literature including literary elements (humor, drama, adventure, etc.), characters, and plot devices related to a position within the work of literature where each appears. A significance level is determined for each of the elements, characters and plot devices at each position within the work of literature, and these are plotted into a sequential graph having position (e.g. timeline) axis and a significance level axis. The sequential graph is then output for printing or display. Human-generated and machine-generated meta-data may be ingested equally well by the method. Colors, line thickness, and a broken line patterns may be employed for greater visual meaning. And, the sequential graph may be annotated according to segments (e.g. chapters, sections) and dominant genre within each segment.
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What is claimed is: 1. A method for visualizing literary elements as a graph comprising: receiving by a computer system a set of meta-data records representing the contents of a digital work of literature, wherein each meta-data record comprises a significance value for a literary element and a relationship of the literary element to one or more items selected from the group consisting of a character, and a literary plot device, and a position where the literary element occurs within a literary plot of the work of literature, and wherein the receiving comprises at least one action selected from the group consisting of receiving converted data from human reviews, receiving converted data from synopses, and receiving meta-data created by a computer using natural language processing and deep semantic analysis; graphing by a computer system the literary elements, characters and plot devices in a sequential graph having a first axis corresponding to a progression of the literary plot within the work of literature, a second axis orthogonal to the first axis corresponds to significance level, and a plurality of points located within the sequential graph as a function of the occurrence position and significance level for each literary element; and rendering by a computer the sequential graph to an output of the computer system. 2. The method as set forth in claim 1 wherein the literary element comprises one or more categories selected from the group consisting of humorous literature, suspenseful literature, mystery literature, dramatic literature, action literature, adventure literature, romantic literature, science fiction literature, science reference literature, and legal analysis literature. 3. The method as set forth in claim 1 wherein the rendering to an output comprises one or more steps selected from the group consisting of creating a digital image file, creating a digital movie file, printing to a printable material, and displaying on a digital display. 4. The method as set forth in claim 1 wherein the graphing comprises plotting a smooth curve for each literary element along a set of coordinates corresponding to each literary element. 5. The method as set forth in claim 4 further comprising encoding the smooth curve to correspond to the literary element using at least one indicia selected from the group consisting of line color, line thickness, and a broken line pattern. 6. The method as set forth in claim 1 further comprising: breaking the meta-data records by a computer into segments of the work of literature; and marking by a computer the sequential graph according to the segments. 7. The method as set forth in claim 6 wherein the breaking comprises one or more methods selected from the group consisting of breaking according to chapters, breaking according to sections, breaking according to number of pages, breaking according to number of paragraphs, and breaking according to shifts in subject matter. 8. The method as set forth in claim 6 further comprising: determining by a computer system a dominant genre of each segment; and annotating by a computer each segment on the sequential graph according to the dominant genre corresponding to each segment.
Drawing of charts or graphs · CPC title
Browsing; Visualisation therefor (browsing or visualisation for clustering or classification G06F16/358) · CPC title
Hierarchical processing, e.g. outlines · CPC title
Annotation, e.g. comment data or footnotes · CPC title
Physics · mapped topic
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