Research On Recommendation System Based On Sentiment Analysis Of Driving School

In the context of China's rapid economic development,car ownership has increased year by year,and the car driving training industry has developed rapidly.With the development of O2O(Online to Offline)business model,combined with the Internet technology driving school training application platform.The recommended method adopted by the existing Internet driving school training platform is usually based on some objective evaluation indicators such as rating,price,distance,etc.It is obvious that this recommendation method does not take into account the correction effect of the user review text on the objective evaluation index.In view of the fact that the recommendation algorithm based on score has low accuracy,this paper proposes an extended score recommendation algorithm based on sentiment analysis.In order to realize the algorithm,this paper divides the implementation process into the following two steps:The first step is to construct a driving dictionary based on the word vector based on the driving school comment text.The driving school field sentiment dictionary obtained in this step is the basis of sentiment analysis.In the second step,the sentiment dictionary obtained in the first step is designed based on the sentiment analysis algorithm of the emotion dictionary in the driving school field to obtain the predicted emotional score,and the predicted emotional score and the actual comment score are appropriately weighted and summed to obtain the final result.Extended scoring to implement an extended score recommendation algorithm based on sentiment analysis.The extended score recommendation algorithm based on sentiment analysis is compared with the traditional score-based recommendation algorithm.The accuracy index is used to verify that the extended score recommendation algorithm based on sentiment analysis can improve the accuracy of system recommendation.Based on the extended score recommendation algorithm based on sentiment analysis,the driving school reservation system is optimized,the accuracy of system recommendation is improved,the user experience is better,and user satisfaction is improved.