Mining the news with R
In this section, we discuss news mining in R. We start with a successful document classification and then discuss how to collect news articles directly from R.
A successful document classification
In this section, we examine a particular dataset which features a term-document matrix of 2,071 press articles containing the word flu in their title. The articles were found on LexisNexis using this search term in two newspapers, The New York Times and The Guardian, between January 1980 and May 2013. For copyright reasons, we cannot include the original articles here. These have been preprocessed in a similar way to what we have seen before with another software, Rapidminer 5. In addition to the term-document matrix, the type of ...