计算机应用与软件2018，Vol.35Issue(1)：65-71,7.DOI:10.3969/j.issn.1000-386x.2018.01.011
OPEN:一个基于评论的商品特征抽取及情感分析框架
OPEN:A FRAMEWORK FOR PRODUCT FEATURE EXTRACTION AND SENTIMENT ANALYSIS BASED ON PRODUCT COMMENTS
摘要
Abstract
This paper dedicates our work to propose a framework of product feature extraction and sentiment analysis based on comments of e-commerce platform.By applying this framework to the comments of fresh goods in JD.COM,the results of the experiments show that our framework can successfully extract the typical features and their corresponding sentiment polarities of every fresh goods.Also,we evaluated the performance of the feature and opinion extraction algorithms on a small data set;the accuracy and recall of extraction the explicit ＜ feature,opinion ＞ pairs reach 53.6％ and 81.5％ respectively.Furthermore,the accuracy of sentiment analysis reaches 98.3％.Overall,we make the following contributions:we proposed an implicit product feature mapping method,which is based on the correlations of opinions and product features;we proposed an improved semi-supervised hierarchical clustering algorithm to cluster product features and then establish an associative table of similar product features,where we use a new toolkit word2vec,to compute the similarity between any two feature words.关键词
特征提取/依存关系分析/word2vec/特征聚类/情感分析Key words
Feature extraction/Dependence analysis word2vec/Feature clustering/Sentiment analysis分类
信息技术与安全科学引用本文复制引用
卿勇,刘梦娟,薛浩,刘冰冰,秦志光..OPEN:一个基于评论的商品特征抽取及情感分析框架[J].计算机应用与软件,2018,35(1):65-71,7.基金项目
国家自然科学基金重点项目和青年项目(61133016,61202445) （61133016,61202445）
达州市科技惠民计划项目(20151004). （20151004）
