Research on the Optimization of the Collection and Processing of Scientific and Technological Intelligence Information Based on Artificial Intelligence Services
This paper compares the performance of multiple algorithms such as the serial algorithm of recurrent neural networks and natural language processing(NLP)on the Penn Treebank data set,and uses the ROUGE score as the evaluation index.Results show that the NLP model performs best on the automatic summary task,which can generate more accurate and comprehensive summaries.In addition,in different types of data,the AI extraction method based on NLP technology also shows high extraction accuracy and is better than traditional methods,which shows that NLP has significant advantages in the field of the collection and processing of scientific and technological intelligence information.
Artificial intelligenceScientific and technological intelligenceCollection and processingNatural language processing
NETL
NSTL
万方数据
