Extraction of quantitative data from online content
AssigneeMicrosoft Technology Licensing, LLC
InventorsOmar Alonso, Thibault Henri Joseph Sellam
Life of this patent
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AssigneeMicrosoft Technology Licensing, LLC
InventorsOmar Alonso, Thibault Henri Joseph Sellam
Estimating the term…
Systems and methods for extracting and organizing quantitative content with a corresponding topic in regard to a particular, desired event, from a body of user posts is presented. More particularly, nearly ubiquitously a body of user posts includes a substantial amount of highly relevant and interesting information goes largely unprocessed and widely inaccessible. According to the disclosed subject matter, a body/corpus of user posts is filtered according to a desired event such that those user posts relating to a desired event is identified. Additionally, the user posts are also filtered according to whether or not the user posts include a quantitative value. An analysis of the filtered user posts is conducted to extract, for qualifying user posts, a quantitative tuple comprising a quantitative value and a corresponding topic.
A quantitative data extraction service as implemented on a computing system, the quantitative data extraction service comprising a processor and a memory, wherein the processor executes instructions retrieved from the memory as part of or in conjunction with additional components to generate quantitative tuples from a corpus of user posts, the additional components comprising:
A computer implemented method which, when operated on a computer processor, creates a specialized system for generating quantitative tuples, the method comprising:
A computer readable medium bearing computer executable instructions which, when executed on a computing system comprising at least a processor and a memory, carry out a specialized method for generating quantitative tuples, the method comprising:
Dependencies are inferred from the claim text.