Analyzing Concepts Over Time
AssigneeInternational Business Machines Corporation
InventorsTin Kam Ho, Luis A. Lastras-Montano, Oded Shmueli
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Abstract
A method and apparatus are provided for automatically generating and processing first and second concept vector sets extracted, respectively, from a first set of concept sequences and from a second, temporally separated, concept sequences by performing a natural language processing (NLP) analysis of the first concept vector set and second concept vector set to detect changes in the corpus over time by identifying changes for one or more concepts included in the first and/or second set of concept sequences.
Claims20
A method, in an information handling system comprising a processor and a memory, for analyzing concept vectors over time to detect changes in a corpus, the method comprising:
- generating, by the system, at least a first concept vector set from a first set of concept sequences applied to a vector learning component;
- generating, by the system, at least a second concept vector set from a second set of concept sequences applied to the vector learning component, where the second set of concept sequences is effectively collected after collection of the first set of concept sequences;
- and
- performing, by the system, a natural language processing (NLP) analysis of the first concept vector set and second concept vector set to detect changes in the corpus over time by identifying vector changes for one or more concepts included in the first and/or second set of concept sequences.
An information handling system comprising:
- one or more processors;
- a memory coupled to at least one of the processors;
- a set of instructions stored in the memory and executed by at least one of the processors to analyze concept vectors over time to detect changes in a corpus, wherein the set of instructions are executable to perform actions of:
- generating, by the system, at least a first concept vector set from a first set of concept sequences applied to a vector learning component;
- generating, by the system, at least a second concept vector set from a second set of concept sequences applied to the vector learning component, where the second set of concept sequences is effectively collected after collection of the first set of concept sequences;
- and
- performing, by the system, a natural language processing (NLP) analysis of the first concept vector set and second concept vector set to detect changes in the corpus over time by identifying vector changes for one or more concepts included in the first and/or second set of concept sequences.
A computer program product stored in a computer readable storage medium, comprising computer instructions that, when executed by an information handling system, causes the system to analyze concept vectors over time to detect changes in a corpus by performing actions comprising:
- generating, by the system, at least a first concept vector set from a first set of concept sequences applied to a vector learning component;
- generating, by the system, at least a second concept vector set from a second set of concept sequences applied to the vector learning component, where the second set of concept sequences is effectively collected after collection of the first set of concept sequences;
- and
- performing, by the system, a natural language processing (NLP) analysis of the first concept vector set and second concept vector set to detect changes in the corpus over time by identifying vector changes for one or more concepts included in the first and/or second set of concept sequences.
Dependencies are inferred from the claim text.