Abstract: A system and method that enables usage of data embedded inside social media data to help estimate buy intent (BI), to allow companies or organizations to utilize this information to track conversations about their brand, to engage with their customers/users, to conduct advisement and investment efficiency analysis, to manage and reduce potential risk, and identify the factors that may affect company sales and revenues.

Abstract: An object-oriented data management method and system comprising nested structural-elements that form inter-related containers of IRC-Infoids that include information, processing-rules, and an atomic-action layer, enabling functions to operate across disparate-systems using self-normalizing data-definitions is disclosed. The creation and management of the IRC-Infoid objects, rules and actions are handled by an IRC-Infoid Engine. The IRC-Infoid is an object with its own definitions, properties, and rules, related to a single parent element. Six properties define the IRC-Infoid: event, user, file, message, data and relationship. These properties follow inter-relationship rules, which force internal consistency, data optimization, and maintain data integrity. The IRC-Infoid data structure includes documentation, thought leadership and chatter, which when parsed through the rule sets, gets attached to standard or triggered actions, including periodic updates and called actions for use across disparate systems.

Abstract: An object-oriented data management method and system comprising nested structural-elements that form inter-related containers of IRC-Infoids that include information, processing-rules, and an atomic-action layer, enabling functions to operate across disparate-systems using self-normalizing data-definitions is disclosed. The creation and management of the IRC-Infoid objects, rules and actions are handled by an IRC-Infoid Engine. The IRC-Infoid is an object with its own definitions, properties, and rules, related to a single parent element. Six properties define the IRC-Infoid: event, user, file, message, data and relationship. These properties follow inter-relationship rules, which force internal consistency, data optimization, and maintain data integrity. The IRC-Infoid data structure includes documentation, thought leadership and chatter, which when parsed through the rule sets, gets attached to standard or triggered actions, including periodic updates and called actions for use across disparate systems.

Abstract: Systems and methods that enable enhanced social media advertising efficiency using mixed model equations to process advertisement data. A model is described that calculates enhanced advertisement data based on calculations using and re-using variables to isolate keys for effective advertisement.

Abstract: An object-oriented data management method and system comprising nested structural-elements that form inter-related containers of IRC-Infoids that include information, processing-rules, and an atomic-action layer, enabling functions to operate across disparate-systems using self-normalizing data-definitions is disclosed. The creation and management of the IRC-Infoid objects, rules and actions are handled by an IRC-Infoid Engine. The IRC-Infoid is an object with its own definitions, properties, and rules, related to a single parent element. Six properties define the IRC-Infoid: event, user, file, message, data and relationship. These properties follow inter-relationship rules, which force internal consistency, data optimization, and maintain data integrity. The IRC-Infoid data structure includes documentation, thought leadership and chatter, which when parsed through the rule sets, gets attached to standard or triggered actions, including periodic updates and called actions for use across disparate systems.

Abstract: An object-oriented data management method and system comprising nested structural-elements that form inter-related containers of IRC-Infoids that include information, processing-rules, and an atomic-action layer, enabling functions to operate across disparate-systems using self-normalizing data-definitions is disclosed. The creation and management of the IRC-Infoid objects, rules and actions are handled by an IRC-Infoid Engine. The IRC-Infoid is an object with its own definitions, properties, and rules, related to a single parent element. Six properties define the IRC-Infoid: event, user, file, message, data and relationship. These properties follow inter-relationship rules, which force internal consistency, data optimization, and maintain data integrity. The IRC-Infoid data structure includes documentation, thought leadership and chatter, which when parsed through the rule sets, gets attached to standard or triggered actions, including periodic updates and called actions for use across disparate systems.

Abstract: An object-oriented data management method and system comprising nested structural-elements that form inter-related containers of IRC-Infoids that include information, processing-rules, and an atomic-action layer, enabling functions to operate across disparate-systems using self-normalizing data-definitions is disclosed. The creation and management of the IRC-Infoid objects, rules and actions are handled by an IRC-Infoid Engine. The IRC-Infoid is an object with its own definitions, properties, and rules, related to a single parent element. Six properties define the IRC-Infoid: event, user, file, message, data and relationship. These properties follow inter-relationship rules, which force internal consistency, data optimization, and maintain data integrity. The IRC-Infoid data structure includes documentation, thought leadership and chatter, which when parsed through the rule sets, gets attached to standard or triggered actions, including periodic updates and called actions for use across disparate systems.

Abstract: A mobile “Applications Builder” established on the user's mobile handheld device creates a bucket or container for mobile applications (Apps) and selectively downloads applications that are appropriate to a search initiated by the consumer. The user search inputs are used as a contextualization input to identify the relevant product, service or brand and identify the Apps of companies that fall within the search parameters. The identified Apps are downloaded into a bucket and made available to the user to enable his search using tokens or logos for the products, services and brands he is interested in. Users can perform searches using scanned visual logos or visual tokens scanned. Visual tokens and logos contained within the bucket can be used to reduce the customer's effort during the search, while providing enlarged access to related items for consideration by the user as a marketing tool.

Abstract: An object-oriented data management method and system comprising nested structural-elements that form inter-related containers of IRC-Infoids that include information, processing-rules, and an atomic-action layer, enabling functions to operate across disparate-systems using self-normalizing data-definitions is disclosed. The creation and management of the IRC-Infoid objects, rules and actions are handled by an IRC-Infoid Engine. The IRC-Infoid is an object with its own definitions, properties, and rules, related to a single parent element. Six properties define the IRC-Infoid: event, user, file, message, data and relationship. These properties follow inter-relationship rules, which force internal consistency, data optimization, and maintain data integrity. The IRC-Infoid data structure includes documentation, thought leadership and chatter, which when parsed through the rule sets, gets attached to standard or triggered actions, including periodic updates and called actions for use across disparate systems.

Abstract: Systems and methods that enable enhanced social media advertising efficiency using mixed model equations to process advertisement data. A model is described that calculates enhanced advertisement data based on calculations using and re-using variables to isolate keys for effective advertisement.

Abstract: Systems and methods that enable automated clustering and topic analysis from social media data. In some embodiments, methods are provided to use web URLs configuration to control global hierarchical domain creations. In some embodiments, methods are provided to represent global hierarchical domains with average term distribution vector. In some embodiments, methods are provided to detect input data records domain's by calculating a similarity index between input data and each global hierarchical domain term distribution vector. In some embodiments, methods are provided to use Single Value Decomposition to detect topics for input data set to detect topic words. In still further embodiments, methods are provided to use POS tag information to find noun in topic word and search and retrieve the most common web pages and determine topic word order.

Abstract: Systems and methods that enable usage of a modified Bayesian classification to enable sentiment estimation in social media. In some embodiments, events are classified, and the words described sequentially to the event are processed. The system processes historical information and current information to identify the most likely subclass a document belongs to, to help in the estimation of sentiment of a social media user.

Abstract: A system and method that enables usage of data embedded inside social media data to help estimate buy intent (BI), to allow companies or organizations to utilize this information to track conversations about their brand, to engage with their customers/users, to conduct advisement and investment efficiency analysis, to manage and reduce potential risk, and identify the factors that may affect company sales and revenues.

Abstract: A mobile “Applications Builder” established on the user's mobile handheld device creates a bucket or container for mobile applications (Apps) and selectively downloads applications that are appropriate to a search initiated by the consumer. The user search inputs are used as a contextualization input to identify the relevant product, service or brand and identify the Apps of companies that fall within the search parameters. The identified Apps are downloaded into a bucket and made available to the user to enable his search using tokens or logos for the products, services and brands he is interested in. Users can perform searches using scanned visual logos or visual tokens scanned. Visual tokens and logos contained within the bucket can be used to reduce the customer's effort during the search, while providing enlarged access to related items for consideration by the user as a marketing tool.

Abstract: A method and system for providing rules-based or algorithms based automated response optimization in the email-marketing environment such that recipient responses during the delivery process of an email campaign influence the delivery parameters and/or message elements of the portions of the campaign yet to be mailed. Responses to an email marketing campaign determine its marketing effectiveness and include delivery statistics, undeliverable statistics, opens, link-clicks, replies, opt-outs, and conversion events. Conversion events are recipient actions that are intended results from the marketing campaign and include marketing or service transactions that are completed online (e.g. purchases, registrations, filling out surveys, etc) and/or offline (e.g. brand awareness, store visits etc.).