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

Social advertising facing Twitter feasibility analysis method

A social advertising and delivery technology, applied in the field of computational advertising

Inactive Publication Date: 2015-01-07
NANKAI UNIV
View PDF4 Cites 13 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] The purpose of the present invention is to solve the problem of how to analyze and know the placement of social advertisements, aiming at the great insufficiency of the existing Internet advertisement placement analysis technology when it is directly applied to social networks, represented by the well-known social network Twitter Sexual research objects, providing a social network-specific method for analyzing the availability of social advertising

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
  • Social advertising facing Twitter feasibility analysis method
  • Social advertising facing Twitter feasibility analysis method
  • Social advertising facing Twitter feasibility analysis method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0103] The present invention proposes a Twitter-oriented social advertisement delivery analysis method, the overall flow of the method is as follows figure 1 As shown, the following figure 2 Take the example tweet text "go to buy a bicycle today never ride with 50 or more cyclist but I experience ride with 20 or more 7 amaha banshee on holiday" posted by the example user as an example to explain the core content of the method of the present invention.

[0104] 1. Preprocessing the Twitter data;

[0105] Section 1.1, splitting tweets

[0106] Each tweet collected by the Twitter data collector is regarded as an independent document.

[0107] Section 1.2, Word Segmentation and Stem Extraction

[0108] This solution uses the Porter Stemming algorithm to perform word segmentation and stem extraction for each tweet collected. This algorithm is a commonly used English word segmentation and standardization processing algorithm.

[0109] Porter Stemming algorithm stem extraction ...

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

A social advertising facing Twitter feasibility analysis method includes the steps of building a multi-source Twitter corpus by innovatively combining corpus information of different sources of Twitter users and effectively expanding Twitter short text to infer the potential advertising value of the content published by the users to further achieve precise advertising audience targeting; proposing a multi-source Twitter corpus theme analysis model for latent semantic analysis of the content published by the users; based on semantic analysis results, designing feature selection, filtering and presentation algorithms, constructing a logistic regression classifier, and classifying advertising feasibility used as the basis for decision making of advertising recommendation. The social advertising facing Twitter feasibility analysis method takes full advantage of characteristics of information published by the users and can accurately infer the potential advertising value. By means of the social advertising facing Twitter feasibility analysis method, inferred results conforming to the intent of the users can be obtained. The social advertising facing Twitter feasibility analysis method is applicable to advertising recommendation of social networking services, such as Twitter.

Description

technical field [0001] The invention belongs to the field of computational advertising, and in particular relates to a new scheme for analyzing the deliverability of social advertisements and inferring the potential advertising value behind the content published by users on the well-known social network Twitter. This solution can also be applied to other social networks such as Facebook and LinkedIn abroad, as well as domestic platforms such as Sina Weibo and Renren.com. Background technique [0002] Social network is a mainstream Internet information dissemination media that has risen rapidly in recent years. Representative platforms include Twitter, Facebook, and LinkedIn abroad, as well as Renren and Sina Weibo in China. It allows users to use a PC or mobile terminal as an entry, use characters that do not exceed a specific character limit, publish content of interest, or express personal opinions through comments or messages, and interact with friends online. [0003] T...

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): G06F17/27G06F17/30G06Q30/02
Inventor 张莹赵雪俞力苏丽丽袁晓洁
Owner NANKAI 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