A step forward for Topic Detection in Twitter: An FCA-based approach

作者：

Highlights：

• We propose a novel approach based on Formal Concept Analysis for Topic Detection.

• Our proposal overcomes traditional problems of the clustering and classification techniques.

• We analyse the parameters involved in the process in a Twitter-based framework.

• We propose a topic selection methodology based on the stability concept.

• We overcome the state-of-the-art results for the task.

摘要

•We propose a novel approach based on Formal Concept Analysis for Topic Detection.•Our proposal overcomes traditional problems of the clustering and classification techniques.•We analyse the parameters involved in the process in a Twitter-based framework.•We propose a topic selection methodology based on the stability concept.•We overcome the state-of-the-art results for the task.

论文关键词：Formal Concept Analysis,Stability,Topic Detection,Online Reputation Management

论文评审过程：Received 11 February 2015, Revised 7 March 2016, Accepted 8 March 2016, Available online 19 March 2016, Version of Record 5 April 2016.

论文官网地址：https://doi.org/10.1016/j.eswa.2016.03.011