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Insight4News: Connecting News to Relevant Social Conversations

机译:Insight4News:将新闻与相关的社交对话联系起来

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We present the Insight4News system that connects news articles to social conversations, as echoed in microblogs such as Twitter. Insight4News tracks feeds from mainstream media, e.g., BBC, Irish Times, and extracts relevant topics that summarize the tweet activity around each article, recommends relevant hashtags, and presents complementary views and statistics on the tweet activity, related news articles, and timeline of the story with regard to Twitter reaction. The user can track their own news article or a topic-focused Twitter stream. While many systems tap on the social knowledge of Twitter to help users stay on top of the information wave, none is available for connecting news to relevant Twitter content on a large scale, in real time, with high precision and recall. Insight4News builds on our award winning Twitter topic detection approach and several machine learning components, to deliver news in a social context.
机译:我们提供了Insight4News系统,该系统将新闻文章与社交对话联系起来,就像微博(如Twitter)中所反映的那样。 Insight4News跟踪来自BBC,爱尔兰时报等主流媒体的提要,并提取相关主题来汇总每篇文章的推文活动,推荐相关主题标签,并提供有关推文活动,相关新闻文章和时间表的补充性观点和统计信息。有关Twitter反应的故事。用户可以跟踪自己的新闻文章或关注主题的Twitter流。尽管许多系统都利用Twitter的社交知识来帮助用户掌握信息浪潮,但没有一个系统可用于将新闻实时,高精度,高召回率地大规模地关联到相关Twitter内容。 Insight4News建立在我们屡获殊荣的Twitter主题检测方法和几个机器学习组件的基础上,可以在社交环境中传递新闻。

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