The Research On Key Technology Of Fine-Grained Emotion Analysis System With Network Review

The emotional analysis is divided into coarse-grained emotional analysis and fine-grained emotional analysis.The coarse-grained emotional polarity analysis focuses on the emotional tendencies used to judge the overall text.It is the main method of feature selection,feature reduction and feature weight calculation.The coarse-grained emotional analysis does not have a more detailed view of the complexity of the problem of data overload and identification processes faced by consumers,and the fine-grained emotional polarity analysis focuses on finding these attributes from the comments and To determine the consumer's emotional tendencies for each attribute.In this paper,the network reptile technology is used to obtain the network comment corpus,and then the attribute words and emotional words in the corpus are extracted to analyze the fine-grained emotion tendency,and the corresponding system is designed to show the experimental results.The main research work of this paper is to use the Shark-PageRank theme crawling algorithm to generate the data to be crawled by the web crawler method,Bloom Filter page weighting method and Jsoup webpage data acquisition method.To the web comment as a corpus.Then,based on the characteristics of Chinese network commentary language expression,we use a method based onsemantic analysis of attribute words and emotional words to combine recognition,and combine the extraction method with the method of attribute words to propose a method based on semantic analysis The Network Review Fine Grain Emotion Analysis Method.Finally,on the basis of the above work,combined with Web front-end technology,we designed a network of fine-grained emotional analysis system,which provides network comment data acquisition,network commentary fine-grained emotional analysis,and the fine-grained emotional analysis of the review text Function.After the analysis of this thesis,the accuracy of the emotional analysis of the user's comment can be further improved,and it can play a greater role in guiding the product attributes through the emotional analysis,making consumer decision-making.