NOFACE: A new framework for irrelevant content filtering in social media according to credibility and expertise

作者：

Highlights：

• A new framework for filtering irrelevant content in Twitter has been proposed.

• First time that word embeddings and bios are used to obtain user expertise.

• The framework filters content of social networks keeping only those relevant to the topic intend to study.

• The proper performance has been tested on two real problems.

摘要

•A new framework for filtering irrelevant content in Twitter has been proposed.•First time that word embeddings and bios are used to obtain user expertise.•The framework filters content of social networks keeping only those relevant to the topic intend to study.•The proper performance has been tested on two real problems.

论文关键词：Social media mining,Pre-processing,Credibility,Word embeddings

论文评审过程：Received 25 October 2021, Revised 30 June 2022, Accepted 3 July 2022, Available online 13 July 2022, Version of Record 18 July 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.118063