Stock service risk early warning and tracking system based on natural language processing

Stock service risk early warning and tracking system based on natural language processing

The invention discloses a stock service risk early warning and tracking system based on natural language processing. The stock service risk early warning and tracking system comprises a data acquisition module, a customer demand analysis module, a risk system formulation module, a risk early warning...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: YU HONGFU, YANG XIAOYAN, SU HONGYU, MO LIANGYUAN, ZHU DI, WANG LICHAO, HUANG KAI, WEI LIUMU, WU CHANGSHAN, LI LIN, FU HUA, ZHU NING, LIU NA, LIAO QIUYUAN, HUANG YUSHAN
Format: Patent
Sprache:chi ; eng
Schlagworte:
CALCULATING
COMPUTING
COUNTING
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
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Beschreibung
Zusammenfassung:The invention discloses a stock service risk early warning and tracking system based on natural language processing. The stock service risk early warning and tracking system comprises a data acquisition module, a customer demand analysis module, a risk system formulation module, a risk early warning module and a tracking and feedback module. The invention belongs to the technical field of stock service risk analysis, and particularly relates to a stock service risk early warning and tracking system based on natural language processing, which identifies customer power consumption conditions, equipment conditions and customer demands in a customer panoramic power consumption demand view, analyzes customer demand risks by using a natural language processing clustering algorithm, and improves the risk analysis accuracy. A comprehensive customer stock service risk system is constructed; a geographic cloud picture and a customer stock service risk system are comprehensively analyzed, a potential risk trend is ident