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US 2014/0229159 A1Published application
Document summarization using noun and sentence ranking
AssigneeAppsense Limited
InventorPaul Keith BRANTON
Life of this patent
Estimating the term…
Abstract
Systems and methods are provided for summarization of electronic text documents. Nouns and sentences are identified in a text document, and the most-prevalent nouns are further identified based on frequency. The sentences in the document are scored based on assigning points based on cumulative presence or absence of each of the most-prevalent nouns. A tag cloud consisting of the most-prevalent nouns is displayed together with the highest-scoring sentences, thereby providing context for the nouns in the tag cloud.
Claims20
A computerized method for providing a summary of a text document, comprising:
- identifying at least some nouns and sentences in the text document;
- for at least some of the identified nouns, counting the number of times the identified nouns appear in the text document;
- identifying a predetermined number of most-prevalent nouns based on the number of times the identified nouns appear in the text document;
- scoring each of the identified sentences as a function of the number of times the predetermined number of most-prevalent nouns occurs therein;
- displaying at least some of the predetermined number of most-prevalent nouns, wherein the size of each displayed noun is a function of the number of times the displayed noun appears in the text document;
- and
- displaying a predetermined number of the scored sentences that have the highest scores, the displayed scored sentences being displayed in proximity to the displayed nouns.
4 more elements
A computing system comprising:
- a processor;
- and
- a memory coupled to the processor and including computer-readable instructions that, when executed by the processor, cause the processor to:
- identify at least some nouns and sentences in the text document;
- for at least some of the identified nouns, count the number of times the identified nouns appear in the text document;
- identify a predetermined number of most-prevalent nouns based on the number of times the identified nouns appear in the text document;
- score each of the identified sentences as a function of the number of times the predetermined number of most-prevalent nouns occurs therein;
- display at least some of the predetermined number of most-prevalent nouns, wherein the size of each displayed noun is a function of the number of times the displayed noun appears in the text document;
- and
- display a predetermined number of the scored sentences that have the highest scores, the displayed scored sentences being displayed in proximity to the displayed nouns.
7 more elements
Dependencies are inferred from the claim text.