Power user grouping method based on text mining

A power user and text mining technology, applied in the field of power systems, can solve problems such as the inability to meet the needs of power companies to provide personalized services to power customers, the difficulty of large-scale development, and the difficulty of accurately grouping power customers. Effects of accuracy, noise reduction, and accuracy improvement

Inactive Publication Date: 2017-05-24
YUNNAN POWER GRID CO LTD KUNMING POWER SUPPLY BUREAU
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Problems solved by technology

However, in the traditional customer grouping method, the label system is mainly mapped by business personnel manually, which is difficult to carry out on a large scale due to the limitation of labor costs and personnel experience; at the same time, the data source of traditional customer grouping is mainly the structure of the power company's own system

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  • Power user grouping method based on text mining
  • Power user grouping method based on text mining
  • Power user grouping method based on text mining

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Embodiment Construction

[0032] The specific embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings. The specific implementation steps of a method for grouping power users based on text mining are as follows:

[0033] Step 100 Raw Data Acquisition and Preprocessing

[0034] Collect customer profile data and historical operation data of power companies through data mining and ETL tools;

[0035] Collect customer electricity consumption behavior, preferences, operation logs and other data from systems such as online business halls through web crawlers;

[0036] Convert voice information of voice systems such as 95598 into structured text data through voice conversion tools;

[0037] Step 200 establishes a tag system library based on the text automatic classification model of machine learning

[0038] Step 201 Prepare training set data and test set data

[0039] Manually classify a batch of preprocessed documents accurately as the training...

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Abstract

The invention provides a power user grouping method based on text mining. The method is characterized by mainly through an automatic text classification model based on machine learning, establishing a label system database; according to a label and a label attribute weight, using a K-means cluster algorithm pair to carry out user portrait; and according to several label attributes under a user portrait, clustering users according to a certain rule, and using a Jaccard similarity calculating method to realize client group division based on the user portrait.

Description

[0001] Technical field: The present invention belongs to the field of power systems, and in particular relates to a method for grouping power users based on text mining. Background technique: [0002] With the new round of power system reform and the transformation of power companies to focus on improving customer service capabilities, power companies are paying more attention than ever to providing differentiated and personalized services to power customers and further improving customer satisfaction. However, the premise of providing differentiated and personalized services to electricity customers is that it is necessary to divide different sets of electricity customers according to their various attributes and characteristics, that is, customer groups. The traditional power customer grouping is mainly based on historical stock data, according to the known empirical rules of business personnel, and adopts the method of combining data analysis and expert evaluation to group c...

Claims

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Application Information

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IPC IPC(8): G06Q30/02G06Q50/06G06F17/30
CPCG06Q30/0201G06F16/2465G06F16/254G06F16/35G06Q50/06
Inventor 李永辉殷俊张苏杨泓段明明杨捷
Owner YUNNAN POWER GRID CO LTD KUNMING POWER SUPPLY BUREAU
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