COMPUTER SYSTEM AND METHOD FOR SENTIMENT-BASED RECOMMENDATIONS OF DISCUSSION TOPICS IN SOCIAL MEDIA
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    发明申请
    COMPUTER SYSTEM AND METHOD FOR SENTIMENT-BASED RECOMMENDATIONS OF DISCUSSION TOPICS IN SOCIAL MEDIA 审中-公开
    社会媒体讨论主题的基于推荐的推荐计算机系统与方法

    公开(公告)号:US20120179751A1

    公开(公告)日:2012-07-12

    申请号:US13080939

    申请日:2011-04-06

    IPC分类号: G06F15/16

    CPC分类号: G06Q30/0282 G06Q50/01

    摘要: An online discussion recommendation system ranks and presents to users of a social media site discussions of interest preferably calculated through interest-matching. The discussion has many online posts. The system and method determine which post to present to the user as a sample snippet from such discussion using sentiment analysis. The sentiment of the snippet may be most polarized, sentiment matching the user's current mood, typical user sentiment, or others.

    摘要翻译: 在线讨论推荐系统对社交媒体网站的用户进行排名和呈现,最好是通过兴趣匹配来计算兴趣。 讨论有很多在线帖子。 系统和方法通过使用情绪分析来确定向用户呈现哪个帖子作为样本片段。 片段的情绪可能最多极化,情绪匹配用户当前的心情,典型的用户情绪或其他。