Fine-grained Emotion Analysis Of Online Reviews Based On BERT-LDA ——Take Smartphone Products For Example

Emotion analysis can identify the emotional intention expressed by users in text data,and is a popular area in natural language processing.However,the traditional emotion analysis is mostly based on the coarse-grained research,mainly to explore the overall emotional polarity of the product,so it is impossible to grasp the product characteristics and the corresponding fine-grained emotion.In order to make up for the deficiency of traditional emotion analysis,this paper studies from the perspectives of product characteristics and emotion classification.Among them,the study of product characteristics is to analyze the product attributes that consumers value;the study of emotion classification is to further subdivide the traditional method of emotion polar classification,but to divide the emotion classification more carefully,calculate the emotion intensity of emotion words,and clarify the segmentation tendency of consumer emotion.The combination of product characteristics and emotional grancan have a clearer understanding of consumers' specific requirements for product characteristics,so as to help businesses better provide personalized services.The main research content of this article includes the following four parts:(1)Build a collection of key phrases of mobile phone products.Based on the structure of key phrases and the dictionary of mobile phone features,this paper creates the preconditions for the high-precision extraction of mobile phone features and emotional words.(2)The BERT-LDA model was constructed.First,the similarity value domain in BERT(Bidirectional Encoder Representations from Transformers)model is trained;then BERT model is applied to extract similar phrases;finally,the extraction results are input into LDA model to obtain the evaluation object and evaluation words.High-quality similarity phrases play a great role in reducing the confusion of the LDA model,and also help to improve the accuracy of the LDA model topic extraction.(3)A fine-grained emotion dictionary based on mobile phone feature words is established.For the calculation of the classification of emotional words and emotional strength,organized by Dalian university of technology information retrieval Chinese emotional vocabulary ontology library(DUTIR),on the basis of the phone key phrases and mobile features dictionary,built based on the evaluation of mobile product emotion dictionary,and increase the "doubt" of "doubt" emotion,constitute eight types of emotional words,and expand the modifier and negative words.(4)A fine-grained emotion analysis model was applied.With a brand of mobile phone review text,for example,the application of BERT-LDA model,find out the characteristics of consumer attention and emotional words,and apply fine-grained emotion calculation method,calculate the characteristics of emotional classification and emotional intensity,to understand the emotional tendency of different characteristics,to store word of mouth,increase sales,better provide personalized service.