基于深度学习LSTM算法的电商评论的情感分析(JD商城数据)全部资料.zip

上传者: 55305220 | 上传时间: 2022-12-01 16:27:17 | 文件大小: 164.28MB | 文件类型: ZIP
基于深度学习LSTM算法的电商评论的情感分析(JD商城数据)全部资料.zip实验流程 对京东网站进行分析,并且通过分布式爬虫进行数据采集 对采集到的数据进行清洗,包括删掉重复数据,删掉垃圾数据等 对清理好的数据进行分词,停词等操作,并对结果保存到新的文档 将分词之后的数据,通过word2vec,建立词向量和索引表 对清洗后的数据,进行数据处理,将分数为1、2的定为不满意,将分数为3,4,5的定为满意 平衡正负样本数据,并且通过样本数据选出合适的文本长度值 词响亮与标签结合,生成可供训练的样本数据 建立分批(batch)函数 通过Tensorflow中的rnn模块进行lstm建模 开始训练,每1000次输出一次结果,每10000次,保存一下模型 绘制loss和accurate图像 实验总结 情感分析是一项非常重要的工作,无论是对商品满意度,电影满意度,政府满意度或者是群众情绪导向等多个领域,情感分析都是饰演着重要的角色,本实验通过大规模分布式爬虫对数据进行采集,获得到了目标数据,然后进行了数据处理,通过word2vec模型建立出了词向量和索引,在通过LSTM算法,进行了模型训练,根据最终

文件下载

资源详情

[{"title":"( 39 个子文件 164.28MB ) 基于深度学习LSTM算法的电商评论的情感分析(JD商城数据)全部资料.zip","children":[{"title":"SentimentAnalysis-master","children":[{"title":"SentimentAnalysis","children":[{"title":"models","children":[{"title":"pretrained_lstm.ckpt-20000.meta <span style='color:#111;'> 20.32MB </span>","children":null,"spread":false},{"title":"jd_comments_181_7_model.model.lstm_model-10000.data-00000-of-00001 <span style='color:#111;'> 1.46MB </span>","children":null,"spread":false},{"title":"checkpoint <span style='color:#111;'> 380B </span>","children":null,"spread":false},{"title":"pretrained_lstm.ckpt-10000.meta <span style='color:#111;'> 20.32MB </span>","children":null,"spread":false},{"title":"jd_comments_181_7_model.model.lstm_model-30000.meta <span style='color:#111;'> 20.32MB </span>","children":null,"spread":false},{"title":"pretrained_lstm.ckpt-20000.index <span style='color:#111;'> 564B </span>","children":null,"spread":false},{"title":"pretrained_lstm.ckpt-20000.data-00000-of-00001 <span style='color:#111;'> 974.66KB </span>","children":null,"spread":false},{"title":"jd_comments_181_7_model.model.lstm_model-40000.data-00000-of-00001 <span style='color:#111;'> 1.46MB </span>","children":null,"spread":false},{"title":"jd_comments_181_7_model.model.lstm_model-10000.meta <span style='color:#111;'> 20.32MB </span>","children":null,"spread":false},{"title":"jd_comments_181_7_model.model.lstm_model-20000.data-00000-of-00001 <span style='color:#111;'> 1.46MB </span>","children":null,"spread":false},{"title":"jd_comments_181_7_model.model.lstm_model-40000.index <span style='color:#111;'> 564B </span>","children":null,"spread":false},{"title":"pretrained_lstm.ckpt-10000.index <span style='color:#111;'> 564B </span>","children":null,"spread":false},{"title":"pretrained_lstm.ckpt-10000.data-00000-of-00001 <span style='color:#111;'> 974.66KB </span>","children":null,"spread":false},{"title":"jd_comments_181_7_model.model.lstm_model-30000.data-00000-of-00001 <span style='color:#111;'> 1.46MB </span>","children":null,"spread":false},{"title":"jd_comments_181_7_model.model.lstm_model-40000.meta <span style='color:#111;'> 20.32MB </span>","children":null,"spread":false},{"title":"jd_comments_181_7_model.model.lstm_model-20000.meta <span style='color:#111;'> 20.32MB </span>","children":null,"spread":false},{"title":"jd_comments_181_7_model.model.lstm_model-10000.index <span style='color:#111;'> 564B </span>","children":null,"spread":false},{"title":"jd_comments_181_7_model.model.lstm_model-30000.index <span style='color:#111;'> 564B </span>","children":null,"spread":false},{"title":"jd_comments_181_7_model.model.lstm_model-20000.index <span style='color:#111;'> 564B </span>","children":null,"spread":false}],"spread":false},{"title":"run.py <span style='color:#111;'> 7.93KB </span>","children":null,"spread":false},{"title":"jd_comments_181_7_model.model <span style='color:#111;'> 64.08MB </span>","children":null,"spread":false},{"title":"StopwordsCN.txt <span style='color:#111;'> 7.96KB </span>","children":null,"spread":false}],"spread":true},{"title":"picDic","children":[{"title":"5.png <span style='color:#111;'> 47.31KB </span>","children":null,"spread":false},{"title":"1.png <span style='color:#111;'> 118.27KB </span>","children":null,"spread":false},{"title":"6.png <span style='color:#111;'> 143.89KB </span>","children":null,"spread":false},{"title":"2.png <span style='color:#111;'> 443.40KB </span>","children":null,"spread":false},{"title":"7.png <span style='color:#111;'> 259.72KB </span>","children":null,"spread":false},{"title":"4.png <span style='color:#111;'> 658.11KB </span>","children":null,"spread":false},{"title":"readme.txt <span style='color:#111;'> 70B </span>","children":null,"spread":false},{"title":"3.png <span style='color:#111;'> 386.34KB </span>","children":null,"spread":false}],"spread":true},{"title":"README.md <span style='color:#111;'> 3.78KB </span>","children":null,"spread":false},{"title":"JDSpider","children":[{"title":"scrapy.cfg <span style='color:#111;'> 260B </span>","children":null,"spread":false},{"title":"JDSpider","children":[{"title":"middlewares.py <span style='color:#111;'> 4.28KB </span>","children":null,"spread":false},{"title":"pipelines.py <span style='color:#111;'> 685B </span>","children":null,"spread":false},{"title":"spiders","children":[{"title":"getComments.py <span style='color:#111;'> 3.42KB </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 161B </span>","children":null,"spread":false}],"spread":true},{"title":"items.py <span style='color:#111;'> 287B </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 0B </span>","children":null,"spread":false},{"title":"settings.py <span style='color:#111;'> 3.61KB </span>","children":null,"spread":false}],"spread":true}],"spread":true}],"spread":true}],"spread":true}]

评论信息

免责申明

【只为小站】的资源来自网友分享,仅供学习研究,请务必在下载后24小时内给予删除,不得用于其他任何用途,否则后果自负。基于互联网的特殊性,【只为小站】 无法对用户传输的作品、信息、内容的权属或合法性、合规性、真实性、科学性、完整权、有效性等进行实质审查;无论 【只为小站】 经营者是否已进行审查,用户均应自行承担因其传输的作品、信息、内容而可能或已经产生的侵权或权属纠纷等法律责任。
本站所有资源不代表本站的观点或立场,基于网友分享,根据中国法律《信息网络传播权保护条例》第二十二条之规定,若资源存在侵权或相关问题请联系本站客服人员,zhiweidada#qq.com,请把#换成@,本站将给予最大的支持与配合,做到及时反馈和处理。关于更多版权及免责申明参见 版权及免责申明