Wanli Zuo

Sentiment analysis of Chinese documents: From sentence to document level

Changli Zhang, Daniel Dajun Zeng, Jiexun Li, Fei-Yue Wang, Wanli Zuo
JASIST
2009

This paper reports a new general framework of focused web crawling based on "relational subgroup discovery". Predicates are used explicitly to represent the relevance clues of those unvisited pages… (More)

An Approach for Calculating Semantic Similarity between Words Using WordNet

Dou Hao, Wanli Zuo, Tao Peng, Fengling He
2011 Second International Conference on Digital…
2011

This paper presents a new edge-counting based method using Word Net to compute the similarity. The method achieves a similarity that perfectly fits with human rating and effectively simulate the… (More)

SVM based adaptive learning method for text classification from positive and unlabeled documents

Tao Peng, Wanli Zuo, Fengling He
Knowledge and Information Systems
2007

Automatic text classification is one of the most important tools in Information Retrieval. This paper presents a novel text classifier using positive and unlabeled examples. The primary challenge of… (More)

Learning from Positive and Unlabeled Examples: A Survey

Bangzuo Zhang, Wanli Zuo
2008 International Symposiums on Information…
2008

This paper surveys the existing method of learning from positive and unlabeled examples. We divide the existing methods into three families, and review the main algorithms, respectively. The first… (More)

Reliable Negative Extracting Based on kNN for Learning from Positive and Unlabeled Examples

Many real-world classification applications fall into the class of positive and unlabeled learning problems. The existing techniques almost all are based on the two-step strategy. This paper proposes… (More)

PU text classification enhanced by term frequency-inverse document frequency-improved weighting

Tao Peng, Lu Liu, Wanli Zuo
Concurrency and Computation: Practice and…
2014

A Novel Reliable Negative Method Based on Clustering for Learning from Positive and Unlabeled Examples

This paper investigates a new approach for training text classifiers when only a small set of positive examples is available together with a large set of unlabeled examples. The key feature of this… (More)

Research on discovering deep web entries

Ying Wang, Huilai Li, Wanli Zuo, Fengling He, Xin Wang, Kerui Chen
Comput. Sci. Inf. Syst.
2011

Ontology plays an important role in locating Domain-Specific Deep Web contents, therefore, this paper presents a novel framework WFF for efficiently locating Domain-Specific Deep Web databases based… (More)

An Auto-stopped Hierarchical Clustering Algorithm for Analyzing 3D Model Database

Tian-yang Lv, Yu-hui Xing, Shaobin Huang, Zhengxuan Wang, Wanli Zuo
PKDD
2005

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