Abstract: In a method for processing messages exchanged on a social network, a data processing apparatus gathers from the social network a reference set of messages pertaining to a user-selected reference context. The data processing apparatus then applies a multidimensional aggregation to the reference set of messages, whereby the messages of the reference set are grouped in an multidimensional array of groups having at least two dimensions. In each dimension, the array comprises a number of groups that correspond to a number of values of a certain message feature. Each group in a dimension corresponding to a certain message feature aggregates all the messages of the reference set whose message feature has a same value. Then, a user interface is displayed, which shows the reference set of messages as aggregated in at least two dimensions of the array.

Abstract: In a method for processing messages exchanged on a social network, a data processing apparatus gathers from the social network a reference set of messages pertaining to a user-selected reference context. The data processing apparatus then applies a multidimensional aggregation to the reference set of messages, whereby the messages of the reference set are grouped in an multidimensional array of groups having at least two dimensions. In each dimension, the array comprises a number of groups that correspond to a number of values of a certain message feature. Each group in a dimension corresponding to a certain message feature aggregates all the messages of the reference set whose message feature has a same value. Then, a user interface is displayed, which shows the reference set of messages as aggregated in at least two dimensions of the array.

Abstract: A processing method for classification of contents in a domain that can be represented through a taxonomy includes generating a first digital mathematical representation of the taxonomy; generating a second digital mathematical representation of text documents different from the contents and containing keywords; processing the first and second digital mathematical representations for enriching the taxonomy, by associating keywords of the text documents with the first digital mathematical representation; generating a third digital mathematical representation of the contents; and processing the first digital enriched mathematical representation and third mathematical representation for classifying the contents in the enriched taxonomy.

Abstract: A processing method for classification (300) of contents (400) in a domain (500; 501) that can be represented through a taxonomy is described, the method comprising: generating (301) a first digital mathematical representation of the taxonomy; generating (302) a second digital mathematical representation of text documents (600) different from said contents and containing keywords; processing (303) the first and second digital mathematical representations for enriching the taxonomy, by associating keywords of the text documents (600) with the first digital mathematical representation; generating (304) a third digital mathematical representation of the contents (400); processing (305) the first digital enriched mathematical representation and third mathematical representation for classifying the contents (400) in the enriched taxonomy.