DETERMINING INFORMATION INTER-RELATIONSHIPS FROM DISTRIBUTED GROUP DISCUSSIONS
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Accused Products
Abstract
Techniques are described for analyzing user-supplied information and/or predicting future aspects of additional information that will be supplied by users. The analyzed information may include distributed group discussions involving numerous users, occurring via user comments and other content items supplied to social networking site(s) and/or other sources. Analysis of user-supplied information may, for example, include determining particular topics and/or categories of interest during one or more time periods and quantifying corresponding amounts of user interest; determining trends for, relevant terms and attributes for, and inter-relationships between the topics and categories; predicting future amounts of user interest in the topics and categories; tracking user interactions with information about the topics and/or categories; and taking further actions based on the analyzed and/or predicted information.
66 Citations
65 Claims
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1-39. -39. (canceled)
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40. A system, comprising:
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one or more hardware processors of one or more computer systems; and one or more memories including instructions that, when executed by at least one hardware processor of the one or more hardware processors, cause the at least one hardware processor to determine relevant information for a distributed group discussion involving a plurality of users submitting a plurality of textual comments for the distributed group discussion, the determining of the relevant information including; analyzing the plurality of textual comments to identify a plurality of topics, wherein each topic of the plurality is mentioned in contents of one or more of the plurality of textual comments; generating a plurality of comment groups based on the identified topics, each of the generated comment groups being associated with one of the identified topics and including one or more of the plurality of textual comments that have contents mentioning the associated identified topic; analyzing, for each of the plurality of comment groups, the one or more textual comments included in the comment group to determine one or more attributes for the comment group that are distinct from the associated topic for the comment group; determining one or more inter-relationships that are each between two or more of the plurality of comment groups based at least in part on the determined one or more attributes for each of the two or more comment groups of the inter-relationship; and providing information to at least one user about at least one of the determined one or more inter-relationships. - View Dependent Claims (41, 42, 43, 45, 46, 47)
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44. (canceled)
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48. A computer-implemented method, comprising:
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generating, by one or more computing systems, a plurality of comment groups for a plurality of topics, wherein each of the generated comment groups is associated with one of the topics and includes one or more comments having contents mentioning the associated topic for the comment group, and wherein the one or more comments for each of the plurality of comment groups are selected from a plurality of comments received from a plurality of users; analyzing, by the one or more computing systems and for each of the plurality of comment groups, the one or more comments included in the comment group to determine one or more attributes for the comment group that are distinct from the associated topic for the comment group; determining, by the one or more computing systems and based at least in part on the determined attributes for two or more comment groups, one or more inter-relationships including the two or more comment groups; and providing, by the one or more computing systems, information to a user about the determined one or more inter-relationships. - View Dependent Claims (49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59)
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60. A non-transitory computer-readable medium having stored contents that cause one or more computing systems to perform automated operations, including at least:
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generating, by the one or more computing systems, a plurality of comment groups for a plurality of topics, wherein each of the generated comment groups is associated with one of the topics and includes one or more comments having contents mentioning the associated topic for the comment group, and wherein the one or more comments for each of the plurality of comment groups are selected from a plurality of comments received from a plurality of users; associating, by the one or more computing systems and for each of multiple content categories, multiple comment groups of the plurality of comment groups with the content category based at least in part on contents of the comments included in the multiple comment groups; analyzing, by the one or more computing systems and for each of the multiple content categories, the one or more comments included in each of the multiple comment groups for the content category to determine one or more attributes for the content category; determining, by the one or more computing systems and based at least in part on the determined attributes for two or more content categories, one or more inter-relationships including the two or more content categories; and providing, by the one or more computing systems, information to a user about the determined one or more inter-relationships. - View Dependent Claims (61, 62, 63, 64, 65)
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Specification