Sentiment detection as a ranking signal for reviewable entities

    公开(公告)号:US10394830B1

    公开(公告)日:2019-08-27

    申请号:US15068072

    申请日:2016-03-11

    Applicant: Google Inc.

    Abstract: A method, a system and a computer program product for ranking reviewable entities based on sentiment expressed about the entities. A plurality of review texts are identified wherein each review text references an entity. A plurality of sentiment scores associated with the plurality of review texts are generated, wherein each sentiment score for a review text indicates a sentiment directed to the entity referenced by the review text. A plurality of ranking scores for the plurality of entities are generated wherein each ranking score is based at least in part on one or more sentiment scores associated with one or more review texts referencing the entity. A plurality of search results associated with the plurality of entities are displayed based at least in part on the ranking scores.

    Sentiment detection as a ranking signal for reviewable entities

    公开(公告)号:US09317559B1

    公开(公告)日:2016-04-19

    申请号:US13858670

    申请日:2013-04-08

    Applicant: Google Inc.

    CPC classification number: G06F17/30699 G06F17/30867

    Abstract: A method, a system and a computer program product for ranking reviewable entities based on sentiment expressed about the entities. A plurality of review texts are identified wherein each review text references an entity. A plurality of sentiment scores associated with the plurality of review texts are generated, wherein each sentiment score for a review text indicates a sentiment directed to the entity referenced by the review text. A plurality of ranking scores for the plurality of entities are generated wherein each ranking score is based at least in part on one or more sentiment scores associated with one or more review texts referencing the entity. A plurality of search results associated with the plurality of entities are displayed based at least in part on the ranking scores.

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