A topic person multi-polarization method using friendship network analysis

Authors:
Zhong-Yong Chen;Chien Chin Chen
Affiliations:
Department of Information Management, National Taiwan University, Taipei City, Taiwan (R.O.C.);Department of Information Management, National Taiwan University, Taipei City, Taiwan (R.O.C.)
Venue:
ECIR'13 Proceedings of the 35th European conference on Advances in Information Retrieval
Year:
2013

Citing 3
Cited 0

A Min-max Cut Algorithm for Graph Partitioning and Data Clustering

ICDM '01 Proceedings of the 2001 IEEE International Conference on Data Mining
Introduction to Information Retrieval

Introduction to Information Retrieval
Fully automatic lexicon expansion for domain-oriented sentiment analysis

EMNLP '06 Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, we leverage competing viewpoints of the persons mentioned in a set of topic documents. We propose a method to construct a friendship network of the persons and present a graph-partition based multi-polarization algorithm to group the persons into clusters with competing viewpoints.