Intention statement visualization
US-9304984-B2 · Apr 5, 2016 · US
US9411860B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9411860-B2 |
| Application number | US-201114003140-A |
| Country | US |
| Kind code | B2 |
| Filing date | Jun 28, 2011 |
| Priority date | Jun 28, 2011 |
| Publication date | Aug 9, 2016 |
| Grant date | Aug 9, 2016 |
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A method of capturing intentions within online text comprises with a data mining device ( 105 ), identifying (block 305 ) a number of statements of intention within an online forum ( 110 ), and with the data mining device ( 105 ), extracting (block 310 ) a number of attributes ( 240, 245, 250, 255, 260 ) from the statements of intention. A system ( 100 ) for extracting intentions expressed within an online forum comprises a data mining device ( 105 ), a forum server ( 115 ) comprising a number of online forums ( 110 ) communicatively coupled to the data mining device ( 105 ), in which the data mining device identifies a number of statements of intention within the online forums ( 110 ) and extracts a number of attributes ( 240, 245, 250, 255, 260 ) from the statements of intention.
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What is claimed is: 1. A method of capturing intentions within online text comprising: with a data mining device, identifying, via a processor, a plurality of statements of intention within an online forum, wherein each statement of intention is a statement by an author in the online forum, and wherein the statement is indicative of an intent to perform an action, wherein the identifying comprises: populating a list of seed patterns of the statements of intention, detecting a plurality of sentences within the online forum; for each sentence detected within the online forum, dividing the sentences into a plurality of tokens; assigning each of the tokens a part of speech; and detecting a plurality of statements of intention using the list of seed patterns; and with the data mining device, extracting, via the processor, a plurality of attributes from the statements of intention. 2. The method of claim 1 , in which identifying a plurality of statements of intention within the online forum further comprises: identifying a plurality of intention verbs and a plurality of action verbs within the statements of interest; and determining a plurality of intention objects associated with the intention verbs and action verbs. 3. The method of claim 1 ; further comprising extracting complimentary information from the statements of intention. 4. The method of claim 1 , further comprising storing data representing the attributes extracted from the statements of intention in a data storage device. 5. The method of claim 1 , further comprising classifying detected statements of interest based on a level of certainty of the intention verb contained within the statements of interest. 6. The method of claim 1 , further comprising outputting data representing the attributes extracted from the statements of intention to an output device. 7. The method of claim 1 , in which extracting a plurality of attributes from the statements of intention comprises extracting a plurality of intention verbs, a plurality of action verbs, and a plurality of intention objects from the statements of intention. 8. The method of claim 1 , further comprising obtaining text from a source. 9. A system for extracting intentions expressed within an online forum comprising: a data mining device; a forum server comprising a plurality of online forums communicatively coupled to the data mining device, in which the data mining device identifies, via a processor, a plurality of statements of intention within the online forums and extracts, via the processor, a plurality of attributes from the statements of intention, wherein each statement of intention is a statement by an author in the online forum, wherein the statement is indicative of an intent to perform an action, and wherein the plurality of statements are identified by: populating a list of seed patterns of the statements of intention; detecting a plurality of sentences within the online forum; for each sentence detected within the online forum, dividing the sentences into a plurality of tokens; assigning each of the tokens a part of speech; and detecting a plurality of statements of intention using the list of seed patterns. 10. The system of claim 9 , further comprising an online text database communicatively coupled to the data mining device via the network that stores portions of text of a plurality of online forums, in which the data mining device identifies a plurality of statements of intention within the online forums stored in the online text database, and extracts a plurality of attributes from the statements of intention. 11. The system of claim 9 , further comprising an output device that displays data representing the attributes extracted from the statements of intention. 12. The system of claim 9 , in which the forum server is communicatively coupled to the data mining device via a network. 13. A method of realizing an economic gain from the capture of intentions within online text comprising: outputting, via a processor, data representing attributes extracted from statements of intention within online forums to a business entity, wherein each statement of intention is a statement by an author in the online forum, wherein the statement is indicative of an intent to perform an action, and wherein the statements are identified by: populating a list of seed patterns of statements of intention; detecting a plurality of sentences within the online forums; for each sentence detected within the online forums, dividing the sentences into a plurality of tokens; assigning each of the tokens a part of speech; and detecting a plurality of statements of intention using the list of seed patterns; and charging, via the processor, the business entity for access to the data representing the attributes extracted from the statements of intention. 14. The method of claim 13 , in which the data representing the attributes extracted from the statements of intention is presented to the business entity within a graphical user interface.
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