Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Information processing method based on geographic topic model

An information processing method and a technology for geographic topics, which are applied in the field of information processing based on geographic topic models, and can solve problems such as the inability to output geographic location relationships.

Inactive Publication Date: 2016-04-20
BEIHANG UNIV
View PDF3 Cites 14 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] However, the topic mining information generated by the LDA topic model cannot output the geographical relationship

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
  • Information processing method based on geographic topic model
  • Information processing method based on geographic topic model
  • Information processing method based on geographic topic model

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0047] The technical content of the present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0048] like figure 1 As shown, the information processing method based on the geographic theme model provided by the present invention includes the following steps: first, extract text data and its geographic location information to form text data to be processed and store it in the database; then, process the text data to be processed in the database The data is preprocessed to form the processing data required by the geographic theme model; finally, the geographic theme model is constructed based on the processed data, and the relationship between the theme and the geographic location is obtained by solving the geographic theme model. The relationship between themes and geographic locations is displayed by coloring the map. The following is a detailed description of this process.

[0049] S1, extract text data and...

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 invention discloses an information processing method based on a geographic topic model. The information processing method includes following steps: S1, extracting text data and geographic position information to which the text data belong to form to-be-processed text data, and storing the to-be-processed text data into a database; S2, preprocessing the to-be-processed text data in the database to generate processed data; S3, building the geographic topic model according to the processed data, and solving the geographic topic model to acquire a correlation between topics and geographic positions. In the method, semantic information in a text and the geographic position information are correlated for mining analysis of the topics to correlate the topics in the text with the geographic positions, so that the geographic positions of topic research can be found accurately to acquire main subject study directions of each region, and a better decision-making support can be provided for users.

Description

technical field [0001] The present invention relates to an information processing method, in particular to an information processing method based on a geographic topic model (Topics over Locations, abbreviated as TOL), and belongs to the technical field of information processing. Background technique [0002] At present, all kinds of information, especially text information, is growing exponentially. It is becoming more and more difficult for managers to effectively manage and access these data. How to analyze and mine useful knowledge from massive text information has become the main task. [0003] The main ways of text mining are based on statistical language model (probability distribution based on statistical method) and space vector model (geometric change based on linear algebra). Although the methods are different, they all believe that documents are the distribution of words based on the dictionary space, and words and documents are in a many-to-one mapping relations...

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
IPC IPC(8): G06F17/30G06F17/27
CPCG06F16/29G06F16/30G06F2216/03G06F40/30
Inventor 刘瑞左源王德庆
Owner BEIHANG UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com