Feature Extraction Using Restricted Bootstrapping

2012 IEEE/ACIS 11th International Conference on Computer and Information Science (ICIS) : 30 May - 01 Jun 2012 : Shanghai, ChinaThe bootstrapping method is known as an application of the ranking technique of Google for documents and words. The technique calculates a importance of the word by propagating the score of the word and the document mutually. However, sometimes the result is far away from the query word. The problem is known as "Topic drift". This paper proposes the restriction to high-ranking words in the process of bootstrapping. The method is simpler than the technique so far and generalized method such as limiting the emerging pattern of the word. It is confirmed that the method was able to prevent the topic drift, and to extract the bankruptcy reason strongly related to the query word the real bankruptcy information documents

Feature Extraction Using Restricted Bootstrapping

The bootstrapping method is known as an application of the ranking technique of Google for documents and words. The technique calculates a importance of the word by propagating the score of the word and the document mutually. However, sometimes the result is far away from the query word. The problem is known as "Topic drift". This paper proposes the restriction to high-ranking words in the process of bootstrapping. The method is simpler than the technique so far and generalized method such as limiting the emerging pattern of the word. It is confirmed that the method was able to prevent the topic drift, and to extract the bankruptcy reason strongly related to the query word the real bankruptcy information documents.2012 IEEE/ACIS 11th International Conference on Computer and Information Science (ICIS) : 30 May - 01 Jun 2012 : Shanghai, Chin