Abstract: 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.

Abstract: 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.

Abstract: The collection of social data from social networking services for market research purposes is improved by automatically modifying existing search queries based on relevance feedback. Social mentions derived from a query rule set comprising a plurality of query sub-rules are displayed. Inputs classifying selected social mentions from the plurality of social mentions are received. A subset of query sub-rules from the plurality of query sub-rules is analyzed. At least one of the query sub-rules in the subset is modified based on the analysis of the query sub-rules in the subset to filter out at least some irrelevant social mentions derived from the query rule set.