Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: b-page classification is much more difficult than pure-text classification due to a large variety of noisy information embedded in b pages. ,  propose a new b-page classification algorithm based on b summarization for improving the accuracy.  first give empirical evidence that ideal b-page summaries generated by human editors can indeed improve the performance of b-page classification algorithms.  then propose a new b summarization-based classification algorithm and evaluate it along with several other state-of-the-art text summarization algorithms on the LookSmart b directory. Experimental results show that our proposed summarization-based classification algorithm achieves an approximately 8.8% improvement as compared to pure-text-based classification algorithm.  further introduce an ensemble classifier using the improved summarization algorithm and show that it achieves about 12.9% improvement over pure-text based methods.
['Dou Shen', 'Zheng Chen', 'Qiang Yang', 'Hua-Jun Zeng', 'Benyu Zhang', 'Yuchang Lu', 'Wei-Ying Ma']
I am writing a research paper on a idea Web-page classification through summarization
[{"from": "human", "value": "I am writing a research paper on a idea Web-page classification through summarization"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: b-page classification is much more difficult than pure-text classification due to a large variety of noisy information embedded in b pages. ,  propose a new b-page classification algorithm based on b summarization for improving the accuracy.  first give empirical evidence that ideal b-page summaries generated by human editors can indeed improve the performance of b-page classification algorithms.  then propose a new b summarization-based classification algorithm and evaluate it along with several other state-of-the-art text summarization algorithms on the LookSmart b directory. Experimental results show that our proposed summarization-based classification algorithm achieves an approximately 8.8% improvement as compared to pure-text-based classification algorithm.  further introduce an ensemble classifier using the improved summarization algorithm and show that it achieves about 12.9% improvement over pure-text based methods."}]