The increasing availability of digitized text presents enormous opportunities for social scientists. Yet hand coding many blogs, speeches, government records, newspapers, or other sources of unstructured text is infeasible. Although computer scientists have methods for automated content analysis, most are optimized to classify individual documents, whereas social scientists instead want general...

The ability to discover the topic of a large set of text documents using relevant keyphrases is usually regarded as a very tedious task if done by hand. Automatic keyphrase extraction from multi-document data sets or text clusters provides a very compact summary of the contents of the clusters, which often helps in locating information easily. We introduce an algorithm for topic discovery using...

Cohesion-Model is a new Story Link Detection (SLD) System that is inspired by the relevance model of TDT. Task in hand is to detect whether given two documents are linked. Each document is expanded using corresponding relevant documents. Each term in the relevant document is weighted according to the cohesion factor. The two models then are compared using the modified fractional similarity. Per...

Reliable data on the capabilities of professional document examiners are scarce, rendering most past characterizations of these capabilities somewhat speculative. We report on a comprehensive test administered to more than 100 professional document examiners, intended to close this data gap in the area of writer identification. Each examiner made 144 pair-wise comparisons of freely-created orig...