data-journalism / dj2017
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
Related projects ⓘ
Alternatives and complementary repositories for dj2017
- 《计算新闻传播学》课程☆106Updated 2 years ago
- 计算传播学编程基础☆20Updated last year
- 《计算传播学导论》Python代码和PPT☆69Updated 3 years ago
- 《社交网络上的计算传播学》配套PPT☆15Updated 5 years ago
- The 2017 Workshop of Computational Communication Research☆10Updated 7 years ago
- 《跨越网络的门槛》☆21Updated 2 years ago
- Machine Learning for Social Scientists☆61Updated last year
- ☆21Updated 3 years ago
- 互联网与社会(PKU)☆48Updated 5 years ago
- NJU Master Course **Big Data Mining and Analysis**☆127Updated 2 years ago
- Research Infrastructure of Chinese Foundations 中国基金会研究基础数据库☆31Updated 2 years ago
- Chinese Moral Foundation Dictionary☆12Updated 11 months ago
- 《计算社会科学》课程☆21Updated 3 months ago
- 南京大学2019年“计算社会科学”论文工作坊☆12Updated 5 years ago
- 使用R语言的jiebaR包的情感分析☆10Updated 7 years ago
- Dataset of China's-image-related tweets during COVID-19 with aspect-level sentiment labels.☆16Updated 3 years ago
- ☆20Updated 4 years ago
- ☆29Updated 4 years ago
- ☆19Updated 11 months ago
- 《计算传播学导论》电子书☆10Updated 9 years ago
- This is the central repository for literature on and applications of the topic modeling methodology. This page was specifically designed …☆14Updated 5 years ago
- Lectures on Computational Communication☆87Updated last week
- Webpage materials for AAPA network workshop☆79Updated 4 years ago
- Analyse sentiment of Chinese text.☆11Updated 7 years ago
- Social-Network-Analysis-in-R☆66Updated 11 years ago
- Some very useful python code files.☆17Updated 7 years ago
- Answers to some "weird" statistics questions with R code☆10Updated 5 months ago
- 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