Displaying analytic measurement of online social media content in a graphical user interface

Abstract

Methods, apparatuses, and computer-readable media for displaying one or more visualizations of quantitative measurements of the sentiment expressed among online social media participants concerning subject matter of interest in a category. Embodiments are configured for displaying how the sentiment among the online social media participants trends over time and how the sentiment trends with respect to social media source or groups of sources. Embodiments display the actionable information in a graphical interface in an intuitive and user-friendly manner at different levels of granularity that enables the quantified online social media content to be grouped and filtered in a variety of default and / or customizable ways.

Description

CROSS-REFERENCE TO RELATED APPLICATIONS[0001]This application claims the benefit of U.S. provisional application No. 61 / 114,445, entitled “Aggregating and Presenting Quantitative Online Social Media Content,” filed on Nov. 13, 2008.RELATED APPLICATIONS[0002]This application is related to co-pending application U.S. application Ser. No. 12 / 352,827 entitled, Analytic Measurement of Online Social Media Content, concurrently filed on Jan. 13, 2008, and assigned to the corporate assignee of the present invention.FIELD OF THE INVENTION[0003]At least certain embodiments of the invention relate generally to information management, and more particularly to providing analytic measurement of online social media content.BACKGROUND OF THE INVENTION[0004]Traditional methods of collecting, managing and providing real-time or near real-time relevant information have been enhanced through the use of the Internet and online research and information collection tools. One such set of tools is known as ...

AI Technical Summary

Benefits of technology

[0006]At least certain embodiments disclose methods, apparatuses, and computer-readable media for displaying one or more visualizations of quantitative measurements of the sentiment expressed among online social media participants concerning su

Problems solved by technology

Web analytics are limited because they only consider a subset of the relevant online universe, specifically the behavior of users of a given website.

However, this method has many technical limitations since it tends to provide only a very limited picture of a user's overall interests.

Also there is a lack of consolidation between a user's work and home PCs.

However, these techniques require a high degree of manual human intervention by analysts.

Additionally, the reports generated by these analysts can be very expensive and can't be updated very frequently due to the necessity of human intervention in the data gathering and analysis process.

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