基于词典和分类算法的商品评论真实性识别研究
Research on Authenticity Recognition of Commodity Reviews Based on Dictionary and Classification Algorithm
张博通 1尹永学1
作者信息
- 1. 延边大学 理学院,吉林 延吉 133000
- 折叠
摘要
情感分析中基于词典的方法对于筛选评论、判断评论的真实性能够取得很好的效果;加入概率分布分析对原始的评论数据进行分析可以提高情感分析的准确性、减少实验的时间;加入分类算法对评论进行分类分析也可以提高实验的准确性.基于以上方法建立数据分析模型,实现对商品评论真实性的快速准确识别.
Abstract
Through research and analysis,dictionary based methods in sentiment analysis have a good effect on screening comments and judging the authenticity of comments.Adding probability distribution analysis to analyze the original comment data could improve the accuracy of sentiment analysis and reduce the time for experiments,Adding a classification algorithm to classify and analyze comments could also improve the accuracy of the experi-ment.Based on the above methods,an analysis model for data is established to realize fast and accurate identifica-tion of the authenticity of comments.
关键词
情感分析/词典/评论真实性/概率分布/分类算法Key words
emotional analysis/dictionary/authenticity of comments/probability distribution/classification algo-rithm引用本文复制引用
出版年
2024
NETL
NSTL
万方数据