User text information analysis method and device

A text information and analysis method technology, which is applied in the field of user text information analysis methods and devices, can solve problems such as inability to analyze users, achieve the effects of improving learning efficiency, reducing the number of hidden layer nodes, and improving efficiency and accuracy

Inactive Publication Date: 2019-07-16
BEIJING INFORMATION SCI & TECH UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] Therefore, the technical problem to be solved by the present invention is that in the pri

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  • User text information analysis method and device
  • User text information analysis method and device
  • User text information analysis method and device

Examples

Experimental program
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Embodiment 1

[0032] This embodiment provides a user text information analysis method, the user analyzes the user according to the collected user text information, especially the user's preference information can be obtained, so as to provide reference for enterprise marketing or customer maintenance and customer expansion.

[0033] First, an analysis model is established. The model established in this embodiment is a user preference analysis model, which is trained by a stacked autoencoder neural network. The establishment method of the user preference analysis model here is as follows:

[0034] S01. Preprocessing user text information.

[0035] User text information has high dimensionality, a mixture of discrete data and continuous data, time characteristics and statistical characteristics of data, and uncertainties such as noise and missing data. There are a lot of data in the data warehouse as the initial set of data, but perhaps only a part of the data is needed for a certain decision...

Embodiment 2

[0084] This embodiment also provides a user text information analysis device, such as Figure 5 shown, including:

[0085] A preprocessing unit 01, configured to preprocess the text information to be analyzed;

[0086] Theme mining unit 02 is used to carry out potential theme mining to the preprocessed text information to be analyzed, and obtain the theme probability distribution of the text;

[0087] Clustering unit 03, is used for calculating the similarity of text for described subject probability distribution, carries out user characteristic value clustering according to similarity;

[0088] Marking unit 04, for digitally marking the text information to be analyzed after clustering, to obtain sample data to be analyzed;

[0089] The analysis unit 05 is used to input the sample data to be analyzed into the pre-established user preference analysis model to obtain the user preference analysis result.

[0090] The user text information analysis device in this embodiment can...

Embodiment 3

[0092] This embodiment provides a computer device, which includes: at least one processor; and a memory connected to the at least one processor in communication; Instructions, the instructions are executed by the at least one processor, so that the at least one processor executes the method for analyzing user text information in Embodiment 1.

[0093] This embodiment also provides a non-transitory computer-readable storage medium, on which a computer program is stored, and the computer program is used to make the computer execute the user text information analysis method described in Embodiment 1.

[0094] Those skilled in the art should understand that the embodiments of the present invention may be provided as methods, systems, or computer program products. Accordingly, the present invention can take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention may t...

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Abstract

The invention provides a user text information analysis method. The method includes: processing to-be-analyzed text information; carrying out potential topic mining on the preprocessed to-be-analyzedtext information, and obtaining topic probability distribution of the text; calculating the similarity of the text according to the topic probability distribution, and performing user characteristic value clustering according to the similarity; performing digital marking on the clustered to-be-analyzed text information to obtain to-be-analyzed sample data; and inputting the to-be-analyzed sample data into a pre-established user preference analysis model to obtain a user preference analysis result. According to the scheme, the text similarity between the users is calculated by deeply mining thetext features of the users, and clustering analysis is performed according to the similarity distance, so that the structure of a hidden layer of the deep neural network is simplified, and the learning efficiency of the deep neural network is improved.

Description

technical field [0001] The present invention relates to the field of data mining, in particular to a user text information analysis method and device. Background technique [0002] With the intensification of market competition, the competition between enterprises is not only the competition between products, but more importantly, the competition between customers. Customers are the main body of market consumption, and satisfying their needs is the starting point of business management. Therefore, how to collect customer information, integrate customer data, and mine potential information among customers is very important. This is the prerequisite for enterprises to formulate reasonable products and services, and it is also a powerful guarantee for the correctness of business decisions. [0003] In order to better serve users, enterprises will collect user information to form text data. Due to the large amount of user data, the text formed by collecting user information is a...

Claims

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Application Information

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IPC IPC(8): G06F16/35G06N3/08
CPCG06N3/084G06F16/35
Inventor 张健齐林何琼李飞胡泽
Owner BEIJING INFORMATION SCI & TECH UNIV
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