We investigate the impact of time on the predictability of sentiment classification research for models created from web logs. We show that sentiment classifiers are time dependen...
Abstract. This paper proposes a novel method for speaker identification based on both speech utterances and their transcribed text. The transcribed text of each speaker's utte...
With the development of highly efficient graph data collection technology in many application fields, classification of graph data emerges as an important topic in the data mining...
The purpose of authorship search is to identify documents written by a particular author or in a particular style in large document collections. Standard search engines match docum...
We introduce the corpus of United States Congressional bills from 1947 to 1998 for use by language research communities. The U.S. Policy Agenda Legislation Corpus Volume 1 (USPALC...