Social robot detection data set extension method and system based on active learning

A technology for active learning and data detection, applied in neural learning methods, using information identifiers to retrieve Web data, network data retrieval, etc., can solve problems such as high marking costs, difficult acquisition, and restrictions on the development of social robot detection technology. The effect of improving efficiency and reducing the consumption of human resources

Active Publication Date: 2020-07-10
SICHUAN UNIV
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  • Claims
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Problems solved by technology

However, due to the lack of reliable labeled data sets in the existing research on social robot detection in Sina Weibo, it has become a major bottleneck restricting the development of social robot dete

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  • Social robot detection data set extension method and system based on active learning
  • Social robot detection data set extension method and system based on active learning
  • Social robot detection data set extension method and system based on active learning

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Embodiment Construction

[0059] The specific embodiments of the present invention are described below so that those skilled in the art can understand the present invention, but it should be clear that the present invention is not limited to the scope of the specific embodiments. For those of ordinary skill in the art, as long as various changes Within the spirit and scope of the present invention defined and determined by the appended claims, these changes are obvious, and all inventions and creations using the concept of the present invention are included in the protection list.

[0060] The embodiment of the present invention provides a social robot detection data set extension method based on active learning. A large amount of microblog user data is obtained through a web crawler, and then a small number of users are manually marked to construct an initial data set containing normal users and social networks. Datasets for robots. Finally, on this basis, the active learning method is used to expand ...

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Abstract

The invention discloses a social robot detection data set extension method and system based on active learning. The expansion method comprises the steps: collecting microblog user data, extracting a part of data samples for manual annotation, constructing an initial annotation data set, training a classifier by adopting an active learning method, annotating remaining unannotated data sets, and expanding the data sets according to an annotation result. According to the method, the problem that a reliable large sample data set is lacked in social robot detection research in microblogs is solved,full-automatic data annotation and classification are realized, unnecessary human resource consumption is reduced to a great extent, and the data annotation efficiency is improved to a great extent.

Description

technical field [0001] The invention relates to the technical field of microblog data collection collection, in particular to a method and system for expanding a social robot detection data set based on active learning. Background technique [0002] In recent years, the rapid development of Internet technology has accelerated the widespread popularization of Online Social Networks (OSNs). Online social network is a kind of Internet media widely used by people. As a medium in the process of communication and dissemination of information in contemporary society, its influence has penetrated into all aspects of people's daily life. By registering an account and providing corresponding personal information, users can easily and quickly obtain real-time information and interact with family and friends anytime, anywhere. Online social networks have become an important carrier of information transmission in contemporary society. [0003] With the continuous development of online ...

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Application Information

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IPC IPC(8): G06F16/9536G06F16/955G06N3/08
CPCG06F16/9536G06F16/9566G06N3/084
Inventor 王海舟方钰舟魏来武玉豪商帅康晋京
Owner SICHUAN UNIV
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