Graph coloring and ACO based summarization for social networks

作者：

Highlights：

• An unconventional GR-ACO-LS-STS for short text summarization it is proposed.

• The mechanism relies on graph coloring mixed with Ant colony optimization and local search.

• The mechanism was found more efficient than the other traditional algorithms.

摘要

•An unconventional GR-ACO-LS-STS for short text summarization it is proposed.•The mechanism relies on graph coloring mixed with Ant colony optimization and local search.•The mechanism was found more efficient than the other traditional algorithms.

论文关键词：Short text summarization,Social networks,Ant colony optimization,Graph coloring,Text mining,Local search

论文评审过程：Received 24 July 2016, Revised 26 December 2016, Accepted 9 January 2017, Available online 13 January 2017, Version of Record 23 January 2017.

论文官网地址：https://doi.org/10.1016/j.eswa.2017.01.010