System And Method For Providing Default Hierarchical Training For Social Indexing
First Claim
1. A computer-implemented method for providing default hierarchical training for social indexing, comprising:
- maintaining articles of digital information for social indexing;
specifying a hierarchically-structured tree of topics, which each comprise a label comprising one or more words;
identifying constraints inherent in the literal structure of the topic tree;
for each topic in the topic tree, creating a topic model that comprises at least one term derived from the words in at least one of the labels;
evaluating the topic models for the topic tree against the constraints; and
identifying those of the topic models, which best satisfy the constraints.
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Abstract
A system and method for providing default hierarchical training for social indexing is provided. Articles of digital information for social indexing are maintained. A hierarchically-structured tree of topics is specified. Each topic includes a label that includes one or more words. Constraints inherent in the literal structure of the topic tree are identified. For each topic in the topic tree, a topic model that includes at least one term derived from the words in at least one of the labels is created. The topic models for the topic tree are evaluated against the constraints. Those of the topic models, which best satisfy the constraints are identified.
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Citations
24 Claims
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1. A computer-implemented method for providing default hierarchical training for social indexing, comprising:
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maintaining articles of digital information for social indexing; specifying a hierarchically-structured tree of topics, which each comprise a label comprising one or more words; identifying constraints inherent in the literal structure of the topic tree; for each topic in the topic tree, creating a topic model that comprises at least one term derived from the words in at least one of the labels; evaluating the topic models for the topic tree against the constraints; and identifying those of the topic models, which best satisfy the constraints. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12)
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13. A computer-implemented system for providing default hierarchical training for social indexing, comprising:
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an electronic database, comprising; articles of digital information maintained for social indexing; and a hierarchically-structured tree of topics, which each comprise a label comprising one or more words; a processor and memory within which code for execution by the processor is stored, further comprising; an electronically-stored rules set identifying constraints inherent in the literal structure of the topic tree; a topic builder module that, for each topic in the topic tree, creates a topic model that comprises at least one term derived from the words in at least one of the labels; and an evaluator module evaluating the topic models for the topic tree against the constraints; and a user interface visually identifying those of the topic models, which best satisfy the constraints. - View Dependent Claims (14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24)
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Specification