摘要
论文基于评论文本语料信息提出Word2vec模型与Doc2vec模型与机器学习相结合比较的评论文本情感分析模型,经过实验的对比验证,结果表明了论文提出的方法能够有效提高分类准确率、精确度、召回率。
Based on the corpus information of comment text, the paper puts forward the emotional analysis mode of comment text from the combination and comparison of Word2vec mode and Doc2vec mode and machine learning. Through the experimental comparison and verification, the results show that the proposed method can effectively improve the accuracy, precision and recall of classification.
作者
任高山
韩友德
REN Gao-shan;HAN You-de(Nanchang Hangkong University, Nanchang 330063, Chin)
出处
《中小企业管理与科技》
2018年第14期62-63,共2页
Management & Technology of SME