Adobe, Inc.

David Nicholas Bieselin

Balaji Vasan Srinivasan

Tanya Goyal

Shriram Revankar

Kartik Sreenivasan

Nikhil Mohan Nainani

The collection of social data from social networking services for market research purposes is improved by automating the formulation of a final query rule sets by analyzing relevant keywords captured using a seed query rule set based on a user input. Relevant keywords from social mentions based on a seed query rule set for a brand name and/or product can be extracted to form at least parts of a final query rule set. The relevant keywords can then be disambiguated by using a searchable reference to resolve ambiguities. Any generalities in the relevant keywords can also be resolved by analyzing the co-occurrence of the relevant keywords with relevant keywords from another brand and/or product. The relevant keywords having been disambiguated and having generalities resolved therein, may be used to automatically generate a final query rule set for providing relevant search results based on the user input.

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Los Gatos, CA, United States of America

David Nicholas Bieselin