A citizen mediation case classification system and method based on feature migration and adaptive learning
A technology of self-adaptive learning and classification method, applied in the field of data processing and classification, which can solve problems such as inability to cover disputes, small number of case types, and inability to distinguish dispute types.
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[0056] Embodiment: a kind of people's mediation case classification system based on feature migration and adaptive learning, comprising: data collection module, feature extraction module, feature migration module, network training module; Described data collection module is used for collecting people's mediation data and Auxiliary data, and perform data cleaning and deduplication preprocessing on the collected people’s mediation data and auxiliary data to form auxiliary data sets and people’s mediation data sets; feature extraction module uses convolutional neural network to extract auxiliary data features and people’s mediation Data features, and perform convolution operation on the features to obtain the specific features of the people's mediation data; the feature migration module is used to migrate the general features of the auxiliary data to a new neural network, and apply it to the classification of people's mediation cases; the network training module uses Based on the ...
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