APPARATUS AND METHOD FOR STRUCTURING CONTENTS OF MEETING
First Claim
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1. An apparatus configured to structure contents of a meeting, the apparatus comprising:
- a voice recognizer configured to recognize a voice to generate text corresponding to the recognized voice;
a clustering element configured to cluster the generated text into subjects to generate one or more clusters;
a concept extractor configured to extract concepts of each of the generated clusters;
a level analyzer configured to analyze a level of each of the extracted concepts; and
a structuring element configured to structure each of the extracted concepts based on the analysis.
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Abstract
An apparatus is configured to structure contents of a meeting. The apparatus includes a voice recognizer configured to recognize a voice to generate text corresponding to the recognized voice, and a clustering element configured to cluster the generated text into subjects to generate one or more clusters. The apparatus further includes a concept extractor configured to extract concepts of each of the generated clusters, and a level analyzer configured to analyze a level of each of the extracted concepts. The apparatus further includes a structuring element configured to structure each of the extracted concepts based on the analysis.
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Citations
20 Claims
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1. An apparatus configured to structure contents of a meeting, the apparatus comprising:
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a voice recognizer configured to recognize a voice to generate text corresponding to the recognized voice; a clustering element configured to cluster the generated text into subjects to generate one or more clusters; a concept extractor configured to extract concepts of each of the generated clusters; a level analyzer configured to analyze a level of each of the extracted concepts; and a structuring element configured to structure each of the extracted concepts based on the analysis. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A method of structuring contents of a meeting, the method comprising:
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recognizing a voice to generate text corresponding to the recognized voice; clustering the generated text into subjects to generate one or more clusters; extracting concepts of each of the generated clusters; analyzing a level of each of the extracted concepts; and structuring each of the extracted concepts based on the analysis. - View Dependent Claims (12, 13, 14, 15, 16, 17, 18, 19, 20)
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Specification