%0 Journal Article
%T 基于LDA模型的商品评论情感分析研究<br>Research on Sentiment Analysis of Product Reviews Based on LDA Model
%A 陈雅燕
%A 林耿
%J Hans Journal of Data Mining
%P 230-234
%@ 2163-1468
%D 2023
%I Hans Publishing
%R 10.12677/HJDM.2023.133023
%X 在大数据时代，商品评论情感分析可以帮助公司制定销售策略，提高产品性能，从而让消费者可以购买到优质产品。本文提出了一种基于LDA模型商品评论情感分析方法。该方法综合实际打分、预测出的评论为正面的概率、“有用”比例、是否购买、是否是会员五项指标计算出评论文本的综合情感得分。并根据以上研究结果，提出相关商品的改进建议，从而提高商品销售率。<br />
In the era of big data, emotional analysis of product reviews can help companies develop sales strategies, improve product performance, and enable consumers to purchase high-quality products. This article proposes a LDA based method for the sentiment analysis of product reviews. This method calculates the comprehensive sentiment score of the review text by integrating five indica-tors: actual scoring, probability of predicted positive reviews, “useful” ratio, whether to purchase, and whether to be a member. And through the above research results, suggestions for improving relevant products are proposed to improve the sales rate of the products.
%K LDA模型，TF-IDF词向量，情感分析，逻辑回归模型，LDA Model
%K TF-IDF Word Vector
%K Emotional Analysis
%K Logical Regression Mode
%U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=68340