1. A method for conforming text posted on a social networking Web site for posting on another social networking Web site, the method comprising: receiving, by a processing device, text input by a user for posting on a first social networking Web site; analyzing the text, by the processing device, to identify topical and semantic attributes of the text, wherein the semantic attributes comprise writing style, tone and use of idioms; extracting, by the processing device, topical and semantic attributes from exiting posts on a second social networking Web site with natural language processing and semantic analysis; creating and saving a plurality of profiles, by the processing device, according to historical semantic communication style of the existing posts, wherein each profile comprises topic, semantic attributes, social networking Web site identification, and intended recipients; comparing the text with the plurality of profiles; creating a new profile and prioritizing the new profile in response to the topical and semantic attributes of the text not matching a saved profile of the plurality of profiles; prioritizing an existing profile of the plurality of profiles as a key profile of common features for the user in response to the topical and semantic attributes of the text matching the existing profile; and converting the text, by the processing device, to have topical and semantic attributes appropriate for posting on the second social networking Web site, wherein converting the text comprises using a particular profile of the plurality of profiles that best matches the second social networking Web site and the intended recipient to which the text is sent.
1. A method for conforming text posted on a social networking Web site for posting on another social networking Web site, the method comprising: receiving, by a processing device, text input by a user for posting on a first social networking Web site; analyzing the text, by the processing device, to identify topical and semantic attributes of the text, wherein the semantic attributes comprise writing style, tone and use of idioms; extracting, by the processing device, topical and semantic attributes from exiting posts on a second social networking Web site with natural language processing and semantic analysis; creating and saving a plurality of profiles, by the processing device, according to historical semantic communication style of the existing posts, wherein each profile comprises topic, semantic attributes, social networking Web site identification, and intended recipients; comparing the text with the plurality of profiles; creating a new profile and prioritizing the new profile in response to the topical and semantic attributes of the text not matching a saved profile of the plurality of profiles; prioritizing an existing profile of the plurality of profiles as a key profile of common features for the user in response to the topical and semantic attributes of the text matching the existing profile; and converting the text, by the processing device, to have topical and semantic attributes appropriate for posting on the second social networking Web site, wherein converting the text comprises using a particular profile of the plurality of profiles that best matches the second social networking Web site and the intended recipient to which the text is sent. 9. The method of claim 1 , further comprising analyzing from a plurality of social networking Web site grouping whether the topic and semantic attributes match or are significantly similar to an existing relatively high priority profile.