Words are important: A textual content based identity resolution scheme across multiple online social networks

作者：

Highlights：

• Propose a scheme which utilizes the contents of OSN users to match their identities.

• Text Mining and NLP are used to extract the features from users’ contents.

• On the basis of experiments, we achieved accuracy of 91.2 percent in identity matching.

• This scheme will enhance the accuracy of identity resolution frameworks.

摘要

•Propose a scheme which utilizes the contents of OSN users to match their identities.•Text Mining and NLP are used to extract the features from users’ contents.•On the basis of experiments, we achieved accuracy of 91.2 percent in identity matching.•This scheme will enhance the accuracy of identity resolution frameworks.

论文关键词：Content information,Identity matching,Identity resolution,Natural language processing,Online social networks,Text mining

论文评审过程：Received 26 March 2019, Revised 3 February 2020, Accepted 6 February 2020, Available online 12 February 2020, Version of Record 4 April 2020.

论文官网地址：https://doi.org/10.1016/j.knosys.2020.105624