This paper presents a library of reusable model components for visual simulation of the Networked Computer Science Technical Report Library (NCSTRL) and illustrates how a visual s...
We propose a new unsupervised learning technique for extracting information from large text collections. We model documents as if they were generated by a two-stage stochastic pro...
Mark Steyvers, Padhraic Smyth, Michal Rosen-Zvi, T...
This paper addresses several key issues in the ArnetMiner system, which aims at extracting and mining academic social networks. Specifically, the system focuses on: 1) Extracting ...
Jie Tang, Jing Zhang, Limin Yao, Juanzi Li, Li Zha...
This paper presents a novel opinion mining research problem, which is called Contrastive Opinion Modeling (COM). Given any query topic and a set of text collections from multiple ...
This paper presents the results of our initial experiments in the monolingual English, Spanish and Portuguese tasks and the Bilingual Spanish English, Spanish Portuguese, Englis...