- 专利标题: DYNAMIC MEMORY ALLOCATION USING NATURAL LANGUAGE PROCESSING TAGS
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申请号: US16059893申请日: 2018-08-09
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公开(公告)号: US20200050703A1公开(公告)日: 2020-02-13
- 发明人: Sasidhar Purushothaman , Manu J. Kurian , Sean M. Gutman , James McCormack , Suki Ramasamy , William P. Jacobson
- 申请人: BANK OF AMERICA CORPORATION
- 主分类号: G06F17/30
- IPC分类号: G06F17/30 ; G06F17/27 ; G06F15/18
摘要:
A natural language processing system that includes an artificial intelligence (AI) engine, a tagging engine, and a resource allocation engine. The AI engine is configured to receive a set of audio files and to identify concepts within the set of audio files. The AI engine is further configured to determine a usage frequency for each of the identified concepts and to generate an AI-defined tag for concepts with a usage frequency that is greater than a usage frequency threshold. The tagging engine is configured to receive an audio file and to modify metadata for the audio file to include AI-defined tags. The resource allocation engine is configured to identify a storage location from among the plurality of storage devices based on tags associated with the audio file and send the audio file to the identified storage location.
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