Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  proposed a knowware based supervised machine learning technique for domain specific regression and classification of b documents. It is simple because it is only based on word counting techniques without natural language understanding and complicated statistic techniques. Starting from constructing a domain sub-division tree and assigning a training set of documents to its nodes, the algorithm produces a labeled classification tree with a characteristic vector for each node. This tree is used to classify any number of documents in that particular domain. A tool for developing b portal is also provided to build a b station for displaying the final treelike library of documents.
['Ruqian Lu', 'Yu Huang', 'Kai Sun', 'Zhongxiang Chen', 'Yiwen Chen', 'Songmao Zhang']
I am writing a research paper on a idea KACTL: knowware based automated construction of a treelike library from web documents
[{"from": "human", "value": "I am writing a research paper on a idea KACTL: knowware based automated construction of a treelike library from web documents"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  proposed a knowware based supervised machine learning technique for domain specific regression and classification of b documents. It is simple because it is only based on word counting techniques without natural language understanding and complicated statistic techniques. Starting from constructing a domain sub-division tree and assigning a training set of documents to its nodes, the algorithm produces a labeled classification tree with a characteristic vector for each node. This tree is used to classify any number of documents in that particular domain. A tool for developing b portal is also provided to build a b station for displaying the final treelike library of documents."}]