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1. 发明申请

US20160063993A1 FACET RECOMMENDATIONS FROM SENTIMENT-BEARING CONTENT 有权
标题翻译：传感器轴承内容中的FACET推荐
公开(公告)号：US20160063993A1
公开(公告)日：2016-03-03
申请号：US14475450
申请日：2014-09-02
申请人： Microsoft Corporation
发明人： Bill Dolan , Margaret Mitchell , Jay Banerjee , Pallavi Choudhury , Susan Hendrich , Rebecca Mason , Ron Owens , Mouni Reddy , Yaxiao Song , Kristina Toutanova , Liang Xu , Xuetao Yin
IPC分类号： G10L15/08 , G06N7/00 , G06N99/00
CPC分类号： G10L15/08 , G06F3/048 , G06F17/2765 , G06F17/2881 , G06F17/30 , G06N7/005 , G06N99/005 , G06Q30/0201
摘要： A “Facet Recommender” creates conversational recommendations for facets of particular conversational topics, and optionally for things associated with those facets, from consumer reviews or other social media content. The Facet Recommender applies a machine-learned facet model and optional sentiment-model, to identify facets associated with spans or segments of the content and to determine neutral, positive, or negative consumer sentiment associated with those facets and, optionally, things associated with those facets. These facets are selected by the facet model from a list or set of manually defined or machine-learned facets for particular conversational topic types. The Facet Recommender then generates new conversational utterances (i.e., short neutral, positive or negative suggestions) about particular facets based on the sentiments associated with those facets. In various implementations, utterances are fit to one or more predefined conversational frameworks. Further, responses or suggestions provided as utterances may be personalized to individual users.
摘要翻译： “Facet推荐者”为特定会话主题的方面提供会话建议，以及可选择与这些方面相关的内容，消费者评论或其他社交媒体内容。 Facet推荐者应用机器学习面模型和可选情绪模型来识别与跨度或内容段相关的方面，并确定与这些方面相关联的中性，正面或消极消费者情绪，以及可选地与这些方面相关的事物方面这些方面是由特征模型从特定对话类型的手动定义或机器学习方面的列表或一组中选择的。然后，Facet推荐者基于与这些方面相关联的情绪，产生关于特定方面的新的对话话语（即，中立的，积极的或消极的短的建议）。在各种实现中，话语适合于一个或多个预定义的会话框架。此外，作为话语提供的响应或建议可以针对个体用户进行个性化。

2. 发明授权

US09978362B2 Facet recommendations from sentiment-bearing content 有权
公开(公告)号：US09978362B2
公开(公告)日：2018-05-22
申请号：US14475450
申请日：2014-09-02
申请人： Microsoft Corporation
发明人： Bill Dolan , Margaret Mitchell , Jay Banerjee , Pallavi Choudhury , Susan Hendrich , Rebecca Mason , Ron Owens , Mouni Reddy , Yaxiao Song , Kristina Toutanova , Liang Xu , Xuetao Yin
IPC分类号： G10L15/08 , G06N99/00 , G06N7/00 , G06F17/27 , G06F17/28 , G06F17/30 , G06F3/048 , G06Q30/02
CPC分类号： G10L15/08 , G06F3/048 , G06F17/2765 , G06F17/2881 , G06F17/30 , G06N7/005 , G06N99/005 , G06Q30/0201
摘要： A “Facet Recommender” creates conversational recommendations for facets of particular conversational topics, and optionally for things associated with those facets, from consumer reviews or other social media content. The Facet Recommender applies a machine-learned facet model and optional sentiment-model, to identify facets associated with spans or segments of the content and to determine neutral, positive, or negative consumer sentiment associated with those facets and, optionally, things associated with those facets. These facets are selected by the facet model from a list or set of manually defined or machine-learned facets for particular conversational topic types. The Facet Recommender then generates new conversational utterances (i.e., short neutral, positive or negative suggestions) about particular facets based on the sentiments associated with those facets. In various implementations, utterances are fit to one or more predefined conversational frameworks. Further, responses or suggestions provided as utterances may be personalized to individual users.

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