【摘 要】
：
文本情感分析是当前数据挖掘研究的热点,具有极高的应用价值.对电商在线评论进行文本情感分析与数据挖掘具有很高的学术价值和社会经济效益.针对电商在线评论的特点,采用八爪
【机 构】
：
新疆科技学院信息科学与工程学院,新疆库尔勒841000;新疆科技学院工商管理系,新疆库尔勒841000;辽宁生态工程职业学院电气工程学院,沈阳110122
论文部分内容阅读
文本情感分析是当前数据挖掘研究的热点,具有极高的应用价值.对电商在线评论进行文本情感分析与数据挖掘具有很高的学术价值和社会经济效益.针对电商在线评论的特点,采用八爪鱼数据采集器爬取京东商城评论数据,采用Jiaba分词,进行情感标注以及关键词云生成.通过Python基于情感词典进行情感倾向性分析,对情感词、程度副词、否定词进行遍历,计算评论语句的情感值,并使用SnowNLP类库对文本情感值得分进行可视化展示,以柱状图直观展示语句情感分数分布情况,很好验证了实验结论.
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