摘要
采用B/S体系结构,运用Python语言和Django框架构建和开发网站.核心是对京东用户评论进行词法分析,包括分词、词性标注及停用词过滤等文本预处理步骤.接着,基于预处理后的数据进行情感分析,并运用LDA主题建模技术抽取出评论的核心信息,以揭示消费者的偏好、需求、购买动机以及产品优势和不足.经过测试,系统运行流畅,实现了既定目标.
Abstract
Using B/S architecture,using Python language and Django framework to build and develop a website.The core is to perform lexical analysis on JD user comments,including text preprocessing steps such as word segmentation,part of speech tag-ging,and stop word filtering.Next,sentiment analysis is conducted based on preprocessed data,and LDA topic modeling technol-ogy is used to extract the core information of comments,in order to reveal consumer preferences,needs,purchase motivations,as well as product advantages and disadvantages.After testing,the system ran smoothly and achieved the established goals.
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