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weibo-public-opinion-analysis's Introduction

CSDN,52账号:灵海之森

环境:Python3.6

仅做学习交流使用!不收费,若发现搬运倒卖的,请私信我处理。

包含微博爬虫、LDA主题分析和情感分析三个部分。

新增话题热度、话题相似度部分。

新增地图可视化部分,数据由团队自行搜集。

1.微博爬虫

实现微博评论爬取和微博用户信息爬取,一天大概十万条。

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2.LDA主题分析

实现文档主题抽取,包括数据清洗及分词、主题数的确定(主题一致性和困惑度)和最优主题模型的选择(暴力搜索)。

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3.情感分析

实现评论文本的情感值计算,准确率超过97%,处于0到1之间。

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4.话题热度计算

实现话题的热度的计算,同一时间内总和为1.

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5.主题相似度计算

实现两个相邻时间片的话题的演化探测,以判断主题演化情况。

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6.地图绘制

实现分省市情感均值、评论总数、新增确诊人数的地图可视化。

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