1. A method for processing a query based on associating intent and audience, the method comprising: receiving, utilizing at least one interface, the query including text from a user; parsing, utilizing at least one processor, the text of the received query to identify one or more words and/or terms associated with the query; calculating a probability that the identified one or more words and/or terms are associated with one or more topics; identifying the associated one or more topics with the received query based on the calculated probability meeting or exceeding a predetermined threshold; mapping the identified one or more topics of the query to predetermined topics associated with the user based on one or more calculations determining a probability that the query belongs to the one or more topics that is a subset of the predetermined topics associated with the user; classifying the query as belonging to a public question class, a personal request class or a combination thereof based, at least in part, on the identified one or more topics; determining one or more candidate audience members for forwarding the query based, at least in part, on the classification of the query and the one or more mapped predetermined topics of the query associated with the user that are shared by the one or more candidate audience members; and forwarding, utilizing the at least one interface, the query via a network to one or more devices of the one or more candidate audience members.
1. A method for processing a query based on associating intent and audience, the method comprising: receiving, utilizing at least one interface, the query including text from a user; parsing, utilizing at least one processor, the text of the received query to identify one or more words and/or terms associated with the query; calculating a probability that the identified one or more words and/or terms are associated with one or more topics; identifying the associated one or more topics with the received query based on the calculated probability meeting or exceeding a predetermined threshold; mapping the identified one or more topics of the query to predetermined topics associated with the user based on one or more calculations determining a probability that the query belongs to the one or more topics that is a subset of the predetermined topics associated with the user; classifying the query as belonging to a public question class, a personal request class or a combination thereof based, at least in part, on the identified one or more topics; determining one or more candidate audience members for forwarding the query based, at least in part, on the classification of the query and the one or more mapped predetermined topics of the query associated with the user that are shared by the one or more candidate audience members; and forwarding, utilizing the at least one interface, the query via a network to one or more devices of the one or more candidate audience members. 7. A method of claim 1 , further comprising: initiating a database search for the one or more candidate audience members ui based on following: 
 rank( ui,uj,q )= e −αt(ui) × [ P rc ×TRR ( ui,q )+(1 −P rc )× R ( ui,uj )]× Inf ( ui ) wherein TRR(ui,q) is a proficiency score that measures a similarity between a profile of ui and the query q based on topics associated with the profile Tu and the one or more topics of the query Tq, R(ui,uj) is a social score that measures a social distance between ui and the user uj in one or more online social networks, e−at(ui) is an inactivity factor goes against the social score of ui, Prc is a probability that q belongs to a public query class, and Inf(ui) is an importance factor that measures importance of ui on the one or more online social networks.