毕设项目-基于SVM和LSTM实现的购物平台商品评论情感对比分析毕设源码+数据集+模型+项目说明.7z

上传者: DeepLearning_ | 上传时间: 2022-12-13 13:26:04 | 文件大小: 49.86MB | 文件类型: 7Z
毕设新项目 基于SVM和LSTM实现的购物平台商品评论情感对比分析毕设源码+数据集+模型+项目说明.7z 【项目介绍】 使用Selenium模拟真实登录行为,并爬取数据 数据清理 将词汇向量化 使用jieba精确模式进行分词,构造词典 创建词语字典,并返回每个词语的索引,词向量,以及每个句子所对应的词语索引 分类模型对比。 【备注】主要针对正在做毕设的同学和需要项目实战的机器学习、深度学习cv图像识别模式识别方向学习者。 也可作为课程设计、期末大作业。包含:项目源码、训练好的模型、项目操作说明等,该项目可直接作为毕设使用。 也可以用来学习、参考、借鉴。如果基础不错,在此代码上做修改,训练其他模型。

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