Unlock instant, AI-driven research and patent intelligence for your innovation.

A microblog topic extraction method considering space-time effect

An extraction method and technology of spatiotemporal effects, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as the inability to accurately reflect the differences in the influence of Weibo topics, and the difficulty in obtaining the intensity of Weibo topics, and achieve accurate results. Extract, improve accuracy, and improve computational efficiency

Inactive Publication Date: 2018-05-22
GUANGXI TEACHERS EDUCATION UNIV
View PDF2 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to provide a spatio-temporal LDA model based on the problems existing in the prior art that cannot accurately reflect the differences in the influence of different regions on microblog topics, and that it is difficult to obtain the strength of microblog topics in continuous time. Network Community Discovery Method

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A microblog topic extraction method considering space-time effect
  • A microblog topic extraction method considering space-time effect
  • A microblog topic extraction method considering space-time effect

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0023] The technical solutions provided by the present invention will be described below in conjunction with the accompanying drawings and specific embodiments.

[0024] Step 1: Modeling of Regional Topic Influence

[0025] Using the geographical centers of the communities in the study city, a Thiessen polygonal network covering the urban area of ​​Wuhan was constructed, where each polygonal grid represents a region. with theta r The parameter represents the multinomial distribution of the topic of region r, denoted as θ 0 The parameter represents a multinomial distribution of background topics.

[0026] In terms of time division, this paper uses Beta distribution to describe the change process of different topics over time, so as to obtain the intensity of the topic at any time while ensuring the continuous characteristics of time.

[0027] This paper believes that the more marked POIs in a region and the smaller the region area, it indicates that the social function of th...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The present invention belongs to the field of public opinion monitoring, and relates to social network user recommendation, social network service recommendation and microblog subject recognition technology analysis, in particular to a microblog subject extraction method considering a time-space effect. According to the extraction method, a microblog is modeled by a subject z, a region r, the time t, and a vocabulary w, and the specific values of the parameters are obtained by a model expression, thereby realizing microblog subject classification. The method comprises the following steps of: (1) regional subject influence calculation; (2) microblog subject modeling considering time and space; and (3) microblog subject model parameter calculation. The method provided by the present invention has the beneficial effects that a time-space subject model considering continuous time and regional influence weight is constructed, spatial distribution and intensity change of a microblog subject in continuous time can be found, and compared with an existing geographic subject model, the time-space subject model can more accurately extract the microblog subject.

Description

technical field [0001] The invention belongs to the field of public opinion monitoring, and relates to social network user recommendation, social network service recommendation and microblog topic identification technology analysis, in particular to a method for extracting microblog topics taking into account space-time effects. Background technique [0002] Recently, domestic social platforms such as Sina Weibo, Tencent Weibo, etc. allow users to carry their geographical location in the published information. These Weibo with location information are called geographically-identified Weibo. Mining large-scale microblog data with geographic identifiers can discover knowledge such as people's social mobile behavior patterns, consumption habits, temporal and spatial evolution of events, and urban regional function changes, providing strong support for business recommendations, public opinion monitoring, and disaster early warning management. . However, microblog data has the c...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/30
CPCG06F16/9537
Inventor 段炼
Owner GUANGXI TEACHERS EDUCATION UNIV