Review Sentiment Analysis And Sales Forecast Based Item Selection Of Foreign Trade E-Commerce

In recent years,China's foreign trade has generally shown a steady growth trend.At the same time,the scale of e-commerce is expanding,and online shopping has become the main channel for consumption.Chinese goods can "go out" through the foreign trade e-commerce platform and gain the world's approval.However,e-commerce companies want to survive in a highly competitive environment.Item selection is essential as a first step.In the face of massive data,there is no scientific plan to guide the selection of products,so that e-commerce companies have no way to start select,so how to choose marketable goods is an urgent problem to be solved in the development of e-commerce websites.In order to solve the above problems,taking foreign trade e-commerce selection as the research object,based on the two aspects of commentary sentiment analysis and commodity sales forecast,this paper proposes a decision support program for foreign trade selection based on sentiment analysis and sales forecast.First,based on the understanding of the target of foreign trade e-commerce selection of the analysis of sentiment analysis,determine the fields that need to be collected,namely:online comments and some commodity information on the mainstream foreign trade e-commerce website;Then perform text preprocessing and emotional dictionary construction;Then analyze the sentiment analysis of commodity categories and commodity attributes in order of priority.Second,based on the understanding of the purpose of the foreign trade e-commerce selection of sales forecast,determine the fields that need to be collected,namely,the commodity information on the mainstream foreign trade e-commerce website;Then perform data preprocessing to determine the factors affecting sales volume through descriptive and correlation analysis;The ARIMA time series-BP neural network combination is constructed.Analyze and evaluate the impact of sales forecast results on selected products.Finally,taking the Chinese Culture English Store as an example,using the python tool,select the products suitable for sale from the two aspects of comment sentiment analysis and sales forecast.Based on the two aspects of commentary sentiment analysis and sales forecast,the paper puts forward a plan for foreign trade e-commerce selection,enriches the theory,method and technology of foreign trade e-commerce selection,helps Chinese culture English shop selection,and other foreign trade electricity.Commercial selection provides reference.