基于文本挖掘和百度指数的汇率预测

北京理工大学珠海学院2020届本科生毕业论文Exchange rate prediction based on text mining and Baidu IndexAbstractThe purpose of this article is to analyze the impact of the Baidu Index on Internet searchrelated keywords on the exchange rate of RMBtoU SD.First,use the Python webcrawlerprogram to crawl related micro-blog related infomation in batches,and use the R languagejieba package to filter,collect statistics,analyze and extract several keywords.Secondly,based on the daily data of Baidu search index obtained by the python crawler for relatedkeywords,a multivariate hybrid model including the influence factor of the web searchindex was constructed to predict the exchange rate of RMB to U.SD.Finally,a traditional MA model is constructed,and a short-term forecasting analysis isperformed with a multivariate mixed model including search index influence factors.Theresults show that the multivariate mixed model including search index influence factorshas better prediction effect and provides an important basis for the prediction of short-termRM Bexchange rate.Keywords:Baidu index prediction exchange rate Pythonweb crawle Text Mining