Unsupervised topic discovery in micro-blogging networks

作者：

Highlights：

• A novel domain-independent method to discover topics in Twitter is presented.

• Nouns in Wikipedia categories are used to link hashtags to WordNet concepts.

• Topics are found with a new ontology-based semantic clustering mechanism.

• A case study in Oncology shows promising results of this semantic approach.

摘要

•A novel domain-independent method to discover topics in Twitter is presented.•Nouns in Wikipedia categories are used to link hashtags to WordNet concepts.•Topics are found with a new ontology-based semantic clustering mechanism.•A case study in Oncology shows promising results of this semantic approach.

论文关键词：Knowledge-based systems,Semantic Web,Micro-blogging,Twitter

论文评审过程：Available online 13 April 2015, Version of Record 15 May 2015.

论文官网地址：https://doi.org/10.1016/j.eswa.2015.04.014