Analysis of large bodies of textual data

1. A method, comprising:

receiving one or more search terms within a graphical user interface;

identifying, by one or more processors of a machine, a set of textual data based on the one or more search terms;

retrieving a data structure including textual identifications for the set of textual data and an indication of one or more data elements within one or more text sets of the set of textual data;

processing, by the one or more processors, the data structure to generate a modified data structure, the modified data structure generated by reducing to text sets included in the set of textual data identified based on the one or more search terms;

summing rows, by the one or more processors, within the modified data structure, the rows including values for data elements included in each of the identified set of textual data;

identifying, by the one or more processors, one or more elements of interest within the set of textual data based on the summed rows of the modified data structure;

determining, by the one or more processors, a context of occurrence for each element of interest;

normalizing, by the one or more processors, the elements of interest by removing redundant elements of interest based on the context of occurrence of two or more elements of interest and generating a normalized set of elements of interest; and

causing presentation of the normalized set of elements of interest in a first portion of the graphical user interface and the textual identifications for the set of textual data in a second portion of the graphical user interface.

2. The method of claim 1 , wherein causing presentation of the elements of interest and the textual identifications further comprises:

causing presentation of at least a portion of a text set of the set of textual data in a third portion of the graphical user interface.

3. The method of claim 1 , wherein causing presentation of the elements of interest further comprises:

identifying an element type for each of the elements of interest; and

causing presentation of a visual indicator differentiating the elements of interest based on an element type.

4. The method of claim 1 , further comprising:

in response to determining the context of occurrence for each element of interest, generating a set of tokens for each element of interest, the set of tokens representing the context of occurrence;

identifying an overlap of two or more elements of interest based on the set of tokens for the two or more elements of interest; and

linking two or more elements of interest.

5. The method of claim 1 further comprising:

receiving a selection of a textual corpus from a set of textual corpora, each textual corpus of the set of textual corpora containing one or more text sets, the set of textual corpora identified from the selected textual corpus.

6. The method of claim 1 , wherein identifying the set of textual data further comprises:

accessing a set of textual corpora, each textual corpus of the set of textual corpora containing one or more text sets; and

dynamically partitioning the set of textual corpora to identify a textual corpus from the set of textual corpora containing the set of text sets associated with the one or more search terms.

7. A computer implemented system, comprising:

one or more processors; and

a processor-readable storage device comprising processor-executable instructions that, when executed by the one or more processors, cause the one or more processors to perform operations comprising:

receiving one or more search terms within a graphical user interface;

identifying a set of textual data based on the one or more search terms;

retrieving a data structure including textual identifications for the set of textual data and an indication of one or more data elements within one or more text sets of the set of textual data;

processing the data structure to generate a modified data structure, the modified data structure generated by reducing to text sets included in the set of textual data identified based on the one or more search terms;

summing rows within the modified data structure, the rows including values for data elements included in each of the identified set of textual data;

identifying one or more elements of interest within the set of textual data based on the summed rows of the modified data structure;

determining a context of occurrence for each element of interest;

normalizing the elements of interest by removing redundant elements of interest based on the context of occurrence of two or more elements of interest and generating a normalized set of elements of interest; and

causing presentation of the normalized set of elements of interest in a first portion of the graphical user interface and the textual identifications for the set of textual data in a second portion of the graphical user interface.

8. The system of claim 7 , wherein causing presentation of the elements of interest and the textual identifications further comprises:

causing presentation of at least a portion of a text set of the set of textual data in a third portion of the graphical user interface.

9. The system of claim 7 , wherein causing presentation of the elements of interest further comprises:

identifying an element type for each of the elements of interest; and

causing presentation of a visual indicator differentiating the elements of interest based on an element type.

10. The system of claim 7 , wherein the operations further comprise:

in response to determining the context of occurrence for each element of interest, generating a set of tokens for each element of interest, the set of tokens representing the context of occurrence;

identifying an overlap of two or more elements of interest based on the set of tokens for the two or more elements of interest; and

linking two or more elements of interest.

11. The system of claim 7 , wherein the operations further comprise:

receiving a selection of a textual corpus from a set of textual corpora, each textual corpus of the set of textual corpora containing one or more text sets, the set of textual corpora identified from the selected textual corpus.

12. The system of claim 7 , wherein identifying the set of textual data further comprises:

accessing a set of textual corpora, each textual corpus of the set of textual corpora containing one or more text sets; and

dynamically partitioning the set of textual corpora to identify a textual corpus from the set of textual corpora containing the set of text sets associated with the one or more search terms.

13. A processor-readable storage device comprising instructions that, when executed by one or more processors of a machine, cause the machine to perform operations comprising:

receiving one or more search terms within a graphical user interface;

identifying a set of textual data based on the one or more search terms;

retrieving a data structure including textual identifications for the set of textual data and an indication of one or more data elements within one or more text sets of the set of textual data;

processing the data structure to generate a modified data structure, the modified data structure generated by reducing to text sets included in the set of textual data identified based on the one or more search terms;

summing rows within the modified data structure, the rows including values for data elements included in each of the identified set of textual data;

identifying one or more elements of interest within the set of textual data based on the summed rows of the modified data structure;

determining a context of occurrence for each element of interest normalizing the elements of interest by removing redundant elements of interest based on the context of occurrence of two or more elements of interest and generating a normalized set of elements of interest; and

causing presentation of the normalized set of elements of interest in a first portion of the graphical user interface and the textual identifications for the set of textual data in a second portion of the graphical user interface.

14. The processor-readable storage device of claim 13 , wherein causing presentation of the elements of interest and the textual identifications further comprises:

causing presentation of at least a portion of a text set of the set of textual data in a third portion of the graphical user interface.

15. The processor-readable storage device of claim 13 , wherein causing presentation of the elements of interest further comprises:

identifying an element type for each of the elements of interest; and

causing presentation of a visual indicator differentiating the elements of interest based on an element type.

16. The processor-readable storage device of claim 13 , wherein the operations further comprise:

in response to determining the context of occurrence for each element of interest, generating a set of tokens for each element of interest, the set of tokens representing the context of occurrence;

identifying an overlap of two or more elements of interest based on the set of tokens for the two or more elements of interest; and

linking two or more elements of interest.

17. The processor-readable storage device of claim 13 , wherein identifying the set of textual data further comprises:

accessing a set of textual corpora, each textual corpus of the set of textual corpora containing one or more text sets; and

dynamically partitioning the set of textual corpora to identify a textual corpus from the set of textual corpora containing the set of text sets associated with the one or more search terms.