Digital score information has a wide source and various formats,which leads to a long time to extract target information.Therefore,this study proposes a fast algorithm for the extraction of digital score music information.The primary seed URL was extracted from the initial music information and added to the digital score URL queue to be crawled to identify and match the features related to the target score.Based on the deep learning algorithm,the information that matches the target score is selected to achieve fast and accurate information extraction.It is proved that on the premise of ensuring the FI value of 0.98,the overall time cost of extracting the test track score is only 115 s,showing excellent information extraction speed.
web crawlersdigital scoremusic informationrapid extraction technologydeep learningtarget features
维普
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