Blab, Inc.

Stefan Nicholas Papp

Randolph Browning

Bernhard G Zimmermann

David Aaron Snelling

Benjamin Ralph Bressler

Oliver B Downs

James Robert Young, Jr

Trinity Alana Harrison

Techniques are described for analyzing user-supplied information, including in at least some situations to predict future aspects of additional related information that will be supplied by users. The user-supplied information that is analyzed may, for example, include distributed group discussions that involve numerous users and occur via user comments made to one or more social networking sites and/or other computer-accessible sites. The analysis of user-supplied information may, for example, include determining particular topics that are of interest for a specified category during one or more periods of time, quantifying an amount of user interest in particular topics and the category during the period of time, predicting future amounts of user interest in the particular topics and the category during one or more future period of times, and taking one or more further actions based on the predicted information.

Analyzing distributed group discussions

Techniques are described for analyzing user-supplied information, including to predict future aspects of additional information that will be supplied by users. The analyzed information may include distributed group discussions involving numerous users and occurring via user comments and other content items supplied to social networking site(s) and/or other computer-accessible sites. The techniques further include displaying information to users about analyzed and/or predicted information for one or more categories and/or topics or other attributes, to reflect corresponding constituent content items for those categories/topics/attributes for one or more time periods&#x2014;the information display may further occur in a real-time or near-real-time manner with respect to corresponding events or activities to which the information corresponds (such as within seconds, minutes or hours), and may display information about total quantity of constituent content items, rate of change in total quantity, aggregate sentiment, etc.

Displaying information about distributed group discussions

Techniques are described for analyzing user-supplied information, including to predict future aspects of additional related information that will be supplied by users. The user-supplied information may include distributed group discussions that involve numerous users and occur via user comments and other content items supplied to one or more social networking sites and/or other computer-accessible sites. The analysis of user-supplied information may, for example, include determining particular topics that are of interest for a specified category during one or more periods of time, summarizing and encoding information about multiple selected factors for comments supplied for particular topics or a category during each period of time (such as to quantify an amount of user interest), predicting future values for the selected factors for the topics and category during one or more future period of times, and taking one or more further actions based on the predicted information.

Encoding and using information about distributed group discussions

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.

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Seattle, WA, United States of America

Stefan Nicholas Papp