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本项目为舆情分析项目,舆情分析模块旨在通过对新闻文本信息的提取和挖掘,进行深层次加工处理获得其核心有用的信息。本项目将介绍舆情分析模块的整体构建框架、实际业务场景的内容设计和具体实现步骤及优化思路。
本项目为时间序列预测项目,主要重点在于对预测项目整体流程的梳理总结,不同框架下如何进行简单数据处理和模型搭建。因此项目中搭建的主要为一些常用模型(后续会不断修改完善)。模型包含了prophet模型、keras库的bp神经网络和lstm网络模型、pytorch 框架下的lstm相关模型。由于prophet模型和keras库的bp神经网络和lstm网络模型的构建、训练、测试整体代码量较少,将直接各自在一个脚本中完成。而pytorch框架下的模型将对代码块进行拆解。
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