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A Method for Forecasting Microblog Reposting Volume

A prediction method and forwarding volume technology, applied in data processing applications, unstructured text data retrieval, instruments, etc., can solve problems such as predicting the accumulated forwarding volume of Weibo, and achieve the effect of improving accuracy

Active Publication Date: 2019-02-26
中科绿智(重庆)科技有限公司
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  • Summary
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The technical solution of this patent application provides a prediction model for predicting the user's communication behavior under a new topic, but it cannot solve the problem of predicting the cumulative forwarding volume of Weibo

Method used

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  • A Method for Forecasting Microblog Reposting Volume
  • A Method for Forecasting Microblog Reposting Volume
  • A Method for Forecasting Microblog Reposting Volume

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Experimental program
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Embodiment 1

[0059] The microblog forwarding amount prediction method involved in this embodiment has a process as follows Figure 4 As shown, the specific steps are as follows:

[0060] Step 1. Obtain training data and microblog data to be predicted.

[0061] Obtain user data and construct a user-focused network. Microblog user data includes a microblog user id and a following relationship between users. According to the microblog user id and their follow relationship, a user follow network G can be constructed. The construction method is as follows: if user A follows user B, then construct a directed edge A→B in G. The user data is divided proportionally into training data and data to be predicted. The training data includes multiple known post-release t r The original microblog with the retweeted amount at any time and its posting to t i All forwarded microblogs between moments, where 0i r . Since most microblogs are rarely reposted 48 hours after their release. Therefore, the pr...

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Abstract

The invention provides a microblog forwarding quantity prediction method, which is used for solving the problem of relatively low accuracy of a microblog forwarding quantity prediction method in the prior art. The method comprises the steps of obtaining training microblog data and to-be-predicted microblog data; according to a forwarding quantity of a training microblog, dividing the training microblog into a corresponding category; extracting features of the training microblog, wherein the features include forwarding network features, a content feature and a time sequence feature; establishing a multi-classification model between the features and a forwarding quantity category of the microblog; and extracting features of a to-be-predicted microblog, and predicting a forwarding quantity category of the to-be-predicted microblog based on the multi-classification model according to the features of the to-be-predicted microblog. According to the method, multiple forwarding network features are added based on the content feature and the time sequence feature of the microblog, and three types of the features are comprehensively utilized for predicting the forwarding quantity, so that the accuracy of prediction is improved.

Description

technical field [0001] The invention belongs to the technical field of fashion trend prediction in data mining, and in particular relates to a method for predicting microblog forwarding volume. Background technique [0002] Weibo is a broadcast-style social networking platform that shares brief real-time information through a follow mechanism. When a Weibo user publishes a piece of information, the information will be pushed to all fans of the user, and these fans can choose whether to forward the information, and if forwarded, the information will be further pushed to the fans of these fans. Through user forwarding, information can spread rapidly in the microblog network. [0003] Since its release in China in 2009, Weibo has quickly become an important network platform for people to obtain and share information in their daily lives due to its simplicity, convenience, and instant characteristics. As of September 2014, Weibo has 76.6 million daily active users and 167 mill...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/35G06Q50/00
CPCG06F16/35G06Q50/01
Inventor 尚明生李锴张航
Owner 中科绿智(重庆)科技有限公司