Abstract:
Systems and methods for improved management of sentiments over conventional approaches are disclosed. Supervised approach is used to augment the rule-based approach for classification. Initially, sentiment evaluation is performed by the system using a rule based approach and an interface is provided to the user to give feedback on the correctness of evaluated sentiment. This feedback is used by the sentiment evaluation system to update the set of rule-based and also apply the supervised approach to train the classifier for evaluating complex posts.
Abstract:
Systems and methods for improved management of sentiments over conventional approaches are disclosed. Supervised approach is used to augment the rule-based approach for classification. Initially, sentiment evaluation is performed by the system using a rule based approach and an interface is provided to the user to give feedback on the correctness of evaluated sentiment. This feedback is used by the sentiment evaluation system to update the set of rule-based and also apply the supervised approach to train the classifier for evaluating complex posts.
Abstract:
Systems and methods for leveraging social data by entities to acquire new customers through social channels are disclosed. Offers are personalized as these are transmitted based on the desire of the prospect, which may be expressed through network activities. The interest profile of members of social network communities is determined and offers are propagated through conduits having a high influence score. Implementation of these engines is disclosed. If there are multiple people connected to a conduit, the prospect whose degree of social interaction is high may be considered for making the offer available to the prospect.