AaronJi / TrumpTwitterAnalysis
Use machine learning (word2vec, LSI, LDA, NB, etc) to analysis Donald Trump's tweets. Based on Python.
☆35Updated 6 years ago
Related projects: ⓘ
- Uses topic modeling to identify context between follower relationships of Twitter users☆60Updated 4 months ago
- ☆20Updated 6 years ago
- ☆49Updated 6 years ago
- Some very useful python code files.☆17Updated 7 years ago
- Detection of microblogs novel events using an online variant of topic model☆72Updated 11 years ago
- ☆48Updated this week
- 用python判断微博用户的影响力☆51Updated 8 years ago
- Using topic models to discover evolution of worldwide health issues☆22Updated 5 years ago
- In order to analyze the sentiment orientation on Chinese social platform, our group scraped raw reposts during the period when domestic C…☆14Updated last year
- 数据集依据与“新冠肺炎”相关的230个主题关键词进行数据采集,抓取了2020年1月1日—2020年2月20日期间共计100万条微博数据,并对其中10万条数据进行人工标注,标注分为三类,分别为:1(积极),0(中性)和-1(消极)☆16Updated 3 years ago
- Public Behavior Analysis under the COVID-19 Emergency——Based on Weibo Mining☆10Updated 3 years ago
- BTM in python☆71Updated 7 years ago
- 《社交网络上的计算传播学》配套PPT☆15Updated 5 years ago
- We proposed social media bot detection model Botection which exploits both semantic information and user metadata to enhance task perform…☆13Updated 4 years ago
- Code for Chinese LIWC Lexicon Expansion via Hierarchical Classification of Word Embeddings with Sememe Attention (AAAI18)☆144Updated 6 years ago
- #Essential Social Informatics techniques #Twitter dataset of Women's March in 2017 #Python codes to collect social media data, and to co…☆37Updated 6 years ago
- Code to run LDA algorithm on Twitter/Foursquare scraped data.☆15Updated 7 years ago
- A sentiment analysis platform☆44Updated 4 years ago
- Latent Drichlet Allocation and Dynamic Topic Modeling☆8Updated 3 years ago
- 个人代码/项目仓库(具体请看子目录下的README.md)。自取请注明出处,尊重原创,O(∩_∩)O谢谢☆45Updated 6 years ago
- Chinese Subjective Dectection based on subjective knowlegebase, 中文主观性计算。基于中文主观性知识库的句子主观性评定方法。☆52Updated last year
- Biterm Topic Model☆132Updated 7 months ago
- 非结构化课程作业,包括社交网络、链路预测、数据流、文本分析☆21Updated 5 years ago
- 以聚 类算法、LDA主题模型、分类器为基础,完成对Twitter语料的基于地理位置的主题事件挖掘,并对主题事件进行细粒度的情绪分析☆33Updated 6 years ago
- 《计算新闻传播学》课程☆105Updated 2 years ago
- 南京大学《数据新闻》2017 周一 第3-4节 逸B-210 1-18周☆16Updated 5 years ago
- 使用LDA/Apriori/k-means/word2vec模型对节目弹幕短文本进行文本挖掘,输出相应统计结果/图片☆21Updated 7 years ago
- 中文情感分析☆17Updated 8 years ago
- ☆131Updated 6 years ago
- A python type of GibbsLDA++☆64Updated 4 years ago