In this article we present an evaluation of text clustering and classification methods for creating digital library browse interfaces, focusing on the particular case of collecti...
Supervised text classification is the task of automatically assigning a category label to a previously unlabeled text document. We start with a collection of pre-labeled examples ...
A common task in many text mining applications is to generate a multi-faceted overview of a topic in a text collection. Such an overview not only directly serves as an informative...
Xu Ling, Qiaozhu Mei, ChengXiang Zhai, Bruce R. Sc...
This paper studies the problem of identifying comparative sentences in text documents. The problem is related to but quite different from sentiment/opinion sentence identification...
Tweets are the most up-to-date and inclusive stream of information and commentary on current events, but they are also fragmented and noisy, motivating the need for systems that c...