Alternatives and similar repositories for workshop:

Users that are interested in workshop are comparing it to the libraries listed below

• 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 6 years ago
• SocratesClub / cjc
  《计算新闻传播学》课程
  ☆108Updated 2 years ago
• SocratesClub / ccrbook
  《计算传播学导论》Python代码和PPT
  ☆70Updated 4 years ago
• lisette-espin / mrqap-python
  MRQAP Implementation in Python
  ☆22Updated 4 years ago
• SocratesClub / cc2018
  计算传播学编程基础
  ☆20Updated last year
• CivicTechLab / CMFD
  Chinese Moral Foundation Dictionary
  ☆17Updated last year
• jcatw / ergm
  An implementation of the exponential random graph model
  ☆26Updated 10 years ago
• SocratesClub / machine-learning
  Machine Learning for Social Scientists
  ☆61Updated last year
• yleng / COVID-Weibo
  ☆21Updated 4 years ago
• chengjun / thresholdbook
  《跨越网络的门槛》
  ☆21Updated 2 years ago
• lidingruc / 2018R
  互联网与社会（PKU）
  ☆49Updated 6 years ago
• thunlp / COVID19-CountryImage
  Dataset of China's-image-related tweets during COVID-19 with aspect-level sentiment labels.
  ☆16Updated 4 years ago
• SocratesClub / summer-school
  南京大学2019年“计算社会科学”论文工作坊
  ☆13Updated 5 years ago
• SocratesClub / bigdata
  NJU Master Course **Big Data Mining and Analysis**
  ☆129Updated 2 years ago
• AlanConstantine / SomeUsefulPyFile
  Some very useful python code files.
  ☆17Updated 7 years ago
• aronlindberg / Social-Network-Analysis-in-R
  Social-Network-Analysis-in-R
  ☆67Updated 11 years ago
• AaronJi / TrumpTwitterAnalysis
  Use machine learning (word2vec, LSI, LDA, NB, etc) to analysis Donald Trump's tweets. Based on Python.
  ☆36Updated 6 years ago
• liuhuanyong / ZhuguanDetection
  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。
  ☆57Updated last year
• sociocom / covid19_dataset
  ☆20Updated 4 years ago
• Cesar456 / sentimentCN
  中文情感分析
  ☆18Updated 9 years ago
• SocratesClub / ccsnbook
  《社交网络上的计算传播学》配套PPT
  ☆16Updated 6 years ago
• ma-ji / RICF
  Research Infrastructure of Chinese Foundations 中国基金会研究基础数据库
  ☆32Updated 3 years ago
• LeoWood / CoMatrix
  ☆20Updated 6 years ago
• LakiLiu / Covid-19-Analysis
  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）
  ☆18Updated 4 years ago
• dmasad / GDELT_Intro
  Quick tutorial on getting started with GDELT
  ☆42Updated 9 years ago
• kzhai / PyCTM
  A Correlated Topic Model implementation in Python.
  ☆31Updated 4 years ago
• JiaxiangBU / dynamic_topic_modeling
  dynamic topic modeling
  ☆39Updated 2 years ago
• magsilva / dtm
  This implements topics that change over time (Dynamic Topic Models) and a model of how individual documents predict that change.
  ☆31Updated 4 years ago
• bensjx / Topic-Over-Time-LDA
  Using topic models to discover evolution of worldwide health issues
  ☆24Updated 5 years ago
• BT5153-Group-Seventeen / Weibo-Sentiment-Analysis-During-COVID-19
  In order to analyze the sentiment orientation on Chinese social platform, our group scraped raw reposts during the period when domestic C…
  ☆16Updated last year