Big Data Mining Technology In The Application Of Network Public Opinion Monitoring

Big Data has the characteristic of volume,variety and velocity.The rise of big data posed the challenge and change to traditional data mining techniques.There are some data mining technologies to handle high speed,complex type and realtime big data.Network public opinion and big data have similar characteristics.With the increase of network public opinion data,developed the network public opinion monitoring method based on the technology of data mining,including network public opinion monitoring method based on search engine log data mining,network public opinion monitoring method based on text mining,based on the social network of network public opinion found that main body relations.Through explaining the challenge and the new characteristics for the data mining technology in the big data environment,and data mining technology in the application of network public opinion monitoring,explore the opportunities and value in the network public opinion monitoring brought about by the big data mining technique.Deeply analyzing the big data mining technology based on search engine web logs,and using the Google trends as the case,explore the major advantage and the existing problems of data mining technique in network public opinion monitoring,puts forward the measures of data mining technology in the applications of network public opinion monitoring.