Research on Neural Network Model Construction of Nanchang Weather Microblog Ranking Based on Big Data
Since the opening of@Nanchang weather microblog in September 2011,it had been done a lot of work to push weather forecast products and tell good Nanchang weather stories,and won a-bout 15 meteorological government microblogs and the top 10 in Jiangxi.However,as the ranking moved forward,the slowdown in ranking growth was becoming increasingly obvious.The weight of Sina Weibo ranking indicators was not transparent,and the direction of efforts was unclear.In order to solve the problem of opaque indicator weights causing difficulty in ranking progression,a neural network model was constructed and trained step by step to obtain a stable neural network ranking prediction model before and after indicator adjustment.Among them,comments,likes,user visits,playback,and forwarding were important influencing indicators that affected ranking.After upda-ting,the weight of ranking indicators tilted significantly towards the peak indicator.After testing,the accuracy of the model prediction met expectations and was worth the attention of practitioners.
neural networkmicroblog rankingimpact indicatorbig data analysis
国家科技期刊平台
NSTL
万方数据
维普
