{"repo":"lunarwhite/covid-social-analysis","free":true,"listed":false,"github":"https://github.com/lunarwhite/covid-social-analysis","clone":"git clone https://github.com/lunarwhite/covid-social-analysis.git","description":"Apply ML on weibo sentiment. 疫情背景下微博文本情感分析与可视化","language":"HTML","stars":44,"topics":["python","machine-learning","data-analysis","nlp","crawling","vizualization"],"license":"MIT","category":"machine-learning","readme_excerpt":"covid-social-analysis ML-based analysis of social media user attentiveness of COVID-19. 应用机器学习分析疫情背景下的微博文本情感 更多细节请看此 blog post 1 Overview - 手动爬取疫情背景下微博文本与评论，进行情感分析 - 分别尝试聚类、情感词典和多维度情感分析 - 主要工具包版本为 Python 3.6.10 和 scikit-learn 0.24.2 2 Setup - clone repo： git clone https://github.com/lunarwhite/covid-social-analysis.git - 更新 pip： pip3 install --upgrade pip - 为项目创建虚拟环境： conda create --name python=3.6 - 激活 env： conda activate - 安装 Python 库依赖： pip3 install -r requirements.txt 3 Workflow - 数据获取 - 爬取微博文本 - 爬取微博评论 - 数据预处理 - 数据清洗 - 去停用词 - jieba 分词 - textRank 关键词分析 - 分析-情感词典 - SO-PMI 新词发现 - 心态词典扩展 - 心态值计算 - 分析-聚类 - K-means 聚类 - DBSCAN 聚类 - 层次聚类 - 分析-多维度分析 - 多维心态词典 - 多维情感分析 - 可视化 - pyecharts - matplotlib","default_branch":null,"files":null,"tree":[],"storefront":"/r/lunarwhite","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/lunarwhite/covid-social-analysis/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}