Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The b is a huge repository of information and there is a need for b document classification to facilitate the indexing, search and retrieval. b document classification is significantly different from traditional full text classification because of the existence of some additional information provided by the HTML structure.  analyzes the structure information of b documents, and utilizes a structure-based Support Vector Machine (SVM) classifier for classification. The method confirms, quantifies, and extends previous research by introducing a new structure-based method for description and classification of b documents. Compared to traditional b document classification methods, combining the full text with structure information gains nearly 6% accuracy improvement in the case of similar categories and 3.7% accuracy improvement in the case of distinct categories. The structure-based representation of b documents makes use of merely local information, therefore it can be used even in real-time classification.
['Kejing He', 'Chenyang Li']
I am writing a research paper on a idea Structure-based classification of web documents using Support Vector Machine
[{"from": "human", "value": "I am writing a research paper on a idea Structure-based classification of web documents using Support Vector Machine"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The b is a huge repository of information and there is a need for b document classification to facilitate the indexing, search and retrieval. b document classification is significantly different from traditional full text classification because of the existence of some additional information provided by the HTML structure.  analyzes the structure information of b documents, and utilizes a structure-based Support Vector Machine (SVM) classifier for classification. The method confirms, quantifies, and extends previous research by introducing a new structure-based method for description and classification of b documents. Compared to traditional b document classification methods, combining the full text with structure information gains nearly 6% accuracy improvement in the case of similar categories and 3.7% accuracy improvement in the case of distinct categories. The structure-based representation of b documents makes use of merely local information, therefore it can be used even in real-time classification."}]