Abstract: A computer-implemented method, comprises extracting a measure from a content article representing a probability that the article relates to a topic, allocating the article to a group of articles relating to at least one topic on the basis of the measure, using a set of social media objects relating to the article to extract a measure representing a sentiment for the article, and aggregating respective measures for the sentiment of articles in the group to provide an aggregate measure.

Abstract: A computer-implemented method, comprises extracting a measure from a content article representing a probability that the article relates to a topic, allocating the article to a group of articles relating to at least one topic on the basis of the measure, using a set of social media objects relating to the article to extract a measure representing a sentiment for the article, and aggregating respective measures for the sentiment of articles in the group to provide an aggregate measure.

Abstract: A computer-implemented method for analysing user traffic at a website that includes an article on at least one page, wherein the or each page includes a file stored at a website file server, the method comprising determining a set of topics for the article by computing respective measures for the probabilities of keywords appearing in the article, generating a graph representing actions performed on the article by a user, determining a set of shortest paths between respective ones of nodes of the graph, and computing a statistical measure for user traffic at the website.