一个时间稳固的小组推者在新闻平台上的特色评论
Cedric Waterschoot1,2, Antal van den Bosch2
1KNAW Meertens Instituut, Amsterdam, Netherlands.
Frontiers in big data
|June 5, 2024
概括
这项研究引入了一个小组推系统,以帮助新闻平台自动选择高质量的评论. 该系统有效地对评论进行排名,即使新闻主题发生变化,也有助于内容调节.
科学领域:
- 计算机科学 计算机科学
- 信息检索 信息检索
- 自然语言处理自然语言处理.
背景情况:
- 由于手动流程和平台增长,内容主管在为新闻平台选择高质量的评论方面面临挑战.
- 需要自动化系统来帮助主持人有效地识别和展示有价值的用户评论.
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