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Method and device for social network event analysis

A technology for social networking and events, applied in the field of social networking, can solve the problems of low work efficiency and labor-intensive, and achieve the effect of good classification effect.

Active Publication Date: 2018-06-15
HUAWEI TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] It can be seen from the above that since many new words appear in social networks every day, the method provided by the existing technology needs to consume a lot of manpower to update the knowledge base, resulting in low work efficiency

Method used

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  • Method and device for social network event analysis
  • Method and device for social network event analysis
  • Method and device for social network event analysis

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Embodiment Construction

[0026] The following description will be made in conjunction with the accompanying drawings and specific implementation manners.

[0027] see figure 1 , figure 1 It is a flowchart of an embodiment of a method for analyzing social network events in this application. In this embodiment, the method adopts a lifelong machine learning method to analyze the sentiment or opinion of a social network event, wherein the lifelong machine learning is a learning method that can make full use of historical knowledge and effectively transfer knowledge or models. It finds knowledge accumulated in old tasks that is useful for new tasks by judging the relationship of multiple tasks. Through rapid adaptation to new tasks, the learning results of "higher learning starting point", "faster learning speed" and "higher learning accuracy" are realized.

[0028] Specifically, the method for analyzing social network events includes the following steps:

[0029] Step S101: The social network event anal...

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Abstract

The present application discloses a method and device for analyzing social network events, wherein the method includes: grabbing social network events and text information related to the social network events; combining the social network events with the historical event knowledge base Match the data in the database to determine whether it is a new event; when the social network event is a new event, match the words in the text information with the data in the emotional viewpoint classification model database to obtain and describe the social network event classification of viewpoints; using a machine learning method to learn the social network event, the text information, and the classification of viewpoints. Through the above method, the present application can automatically identify the opinion classification of new social network events.

Description

technical field [0001] The present application relates to the technical field of social networks, in particular to a method and device for analyzing social network events. Background technique [0002] In a social network, it is often necessary to detect a new event in the social network and monitor the network public opinion of the event, so as to avoid some events that endanger national security or hinder social morality in the social network. Given that the current social network has the characteristics of large and complex information, high data throughput, and frequent occurrence of new words, machines are usually used to automatically analyze social network events. [0003] The existing technology provides a recognition method based on the emotion and opinion of social groups: by identifying keywords in comments about social network events, then adding different weights to different keywords, and finally judging by comprehensively counting the scores of the groups emo...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/30G06F17/27
Inventor 杨强宋阳秋江焯林
Owner HUAWEI TECH CO LTD