Research on tendentiousness recognition of user evaluation
Cheng Chuan-peng · Computer Engineering and Applications Journal · 2011
This paper improves a method to distinguish tendentiousness of user evaluation.Semantic similarity of words is computed based onTongYiCi CiLin.Bipartite graph is constructed according to calculating similarity of words.The biggest matching algorithm is used to compute similarity between texts.Experiments show that precision and recall rate are greatly improved.