20 July 2010 | Guang Qiu, Bing Liu, Jiajun Bu, Chun Chen
The article "Opinion Word Expansion and Target Extraction through Double Propagation" by Guang Qiu, Bing Liu, Jiajun Bu, and Chun Chen addresses two key challenges in opinion mining: opinion lexicon expansion and opinion target extraction. The authors propose a novel method called "double propagation," which leverages syntactic relations between opinion words and targets identified by a dependency parser. This method is semi-supervised, requiring only an initial seed opinion lexicon to start the bootstrapping process. The key advantage of this approach is its ability to propagate information between opinion words and targets iteratively, significantly improving the extraction of new opinion words and targets. The evaluation using standard product review datasets shows that the proposed method outperforms existing state-of-the-art methods in both tasks. The article also discusses related work, relation identification, and detailed experimental results, highlighting the effectiveness of the proposed approach in opinion mining.The article "Opinion Word Expansion and Target Extraction through Double Propagation" by Guang Qiu, Bing Liu, Jiajun Bu, and Chun Chen addresses two key challenges in opinion mining: opinion lexicon expansion and opinion target extraction. The authors propose a novel method called "double propagation," which leverages syntactic relations between opinion words and targets identified by a dependency parser. This method is semi-supervised, requiring only an initial seed opinion lexicon to start the bootstrapping process. The key advantage of this approach is its ability to propagate information between opinion words and targets iteratively, significantly improving the extraction of new opinion words and targets. The evaluation using standard product review datasets shows that the proposed method outperforms existing state-of-the-art methods in both tasks. The article also discusses related work, relation identification, and detailed experimental results, highlighting the effectiveness of the proposed approach in opinion mining.