weibo-analysis-and-visualization and weibo-opinion-analysis
These are competitors—both perform Chinese social media sentiment analysis on Weibo data using similar NLP techniques (LDA, sentiment analysis, text clustering), with A offering a more comprehensive feature set while B focuses specifically on opinion mining.
About weibo-analysis-and-visualization
HUANGZHIHAO1994/weibo-analysis-and-visualization
使用python抓取微博数据并对微博文本分析和可视化，LDA（树图）、关系图、词云、时间趋势（折线图）、热度地图、词典情感分析（饼图和3D柱状图）、词向量神经网络情感分析、tfidf聚类、词向量聚类、关键词提取、文本相似度分析等
Implements a modular preprocessing pipeline with MongoDB JSON document ingestion, supporting both simplified and traditional Chinese text normalization via zh_wiki conversion. Architecture chains specialized preprocessing scripts (prepro.py, pre_graph.py, senti_pre.py) with downstream analysis modules, enabling flexible workflows from raw Weibo scraper output to multiple visualization outputs. Integrates word2vec embeddings with LSTM neural networks for sentiment classification and supports both dictionary-based and deep learning approaches to text analysis.
About weibo-opinion-analysis
Lan-ce-lot/weibo-opinion-analysis
针对微博平台的微博文本数据进行舆情分析项目，内容有微博爬虫、LDA主题分析和情感分析
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