Towards automatic tweet generation: A comparative study from the text summarization perspective in the journalism genre

作者：

Highlights：

• The task of multi-lingual tweet generation is analyzed.

• Headlines may not be the most suitable way to communicate information via Twitter.

• Current tweets delivered by news providers are informative, but not interesting.

• Automatic tweets were found to be indicative as well as interesting.

• Overall, COMPENDIUM and the Language-specific summarizer were the best systems.

摘要

•The task of multi-lingual tweet generation is analyzed.•Headlines may not be the most suitable way to communicate information via Twitter.•Current tweets delivered by news providers are informative, but not interesting.•Automatic tweets were found to be indicative as well as interesting.•Overall, COMPENDIUM and the Language-specific summarizer were the best systems.

论文关键词：Generation,Twitter,Automatic tweet generation,Text summarization,Informativeness,Indicativeness,Interest

论文评审过程：Available online 22 June 2013.

论文官网地址：https://doi.org/10.1016/j.eswa.2013.06.021