16. The computer program product of claim 15 , wherein the classifying the first text content and the reply text content comprises at least one of: extracting, by the processor device, emotional symbols from the text content of the first user and each the reply text content of the other users, wherein the emotional symbols belong to a predefined symbol set; and extracting, by the processor device, emotional words from the text content of the first user and from each reply text content of the other users; and classifying the emotional symbols and/or emotional words extracted from the first text content into corresponding emotion types from the predetermined set of emotion types as a first emotion type, and classifying the emotional symbols and/or emotional words extracted from each of the reply text content of the other users into corresponding second emotion types from the predetermined set of emotion types, wherein correspondence relations between the emotional symbols and/or emotional words and the emotion types are obtained by searching a database in which correspondence relations between the emotional symbols and/or emotional words and the emotion types are stored.
16. The computer program product of claim 15 , wherein the classifying the first text content and the reply text content comprises at least one of: extracting, by the processor device, emotional symbols from the text content of the first user and each the reply text content of the other users, wherein the emotional symbols belong to a predefined symbol set; and extracting, by the processor device, emotional words from the text content of the first user and from each reply text content of the other users; and classifying the emotional symbols and/or emotional words extracted from the first text content into corresponding emotion types from the predetermined set of emotion types as a first emotion type, and classifying the emotional symbols and/or emotional words extracted from each of the reply text content of the other users into corresponding second emotion types from the predetermined set of emotion types, wherein correspondence relations between the emotional symbols and/or emotional words and the emotion types are obtained by searching a database in which correspondence relations between the emotional symbols and/or emotional words and the emotion types are stored. 17. The computer program product of claim 16 , further comprising: obtaining a third emotion type corresponding to the specific content to be pushed; and for each said reply text contents from other users: determining whether a reply text content of a user includes a word indicating an emotional transition; and if the reply text content of the user does not contain emotional transition, mapping the first emotion type, the corresponding second emotion type and the third emotion type into an emotion coordinate system, so as to obtain a first emotion coordinate, a second emotion coordinate and a third emotion coordinate; and calculating a respective distance between the first emotion coordinate and the corresponding second emotion coordinate as a first matching degree measure, and calculating a distance between the corresponding second emotion coordinate and the third emotion coordinate as a second matching degree measure.