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
  ☆17Updated 6 years ago
• SocratesClub / cjc
  《计算新闻传播学》课程
  ☆107Updated 2 years ago
• SocratesClub / ccrbook
  《计算传播学导论》Python代码和PPT
  ☆72Updated 4 years ago
• lisette-espin / mrqap-python
  MRQAP Implementation in Python
  ☆24Updated 5 years ago
• SocratesClub / cc2018
  计算传播学编程基础
  ☆20Updated last year
• CivicTechLab / CMFD
  Chinese Moral Foundation Dictionary
  ☆18Updated last year
• yleng / COVID-Weibo
  ☆21Updated 4 years ago
• chengjun / thresholdbook
  《跨越网络的门槛》
  ☆22Updated 2 years ago
• SocratesClub / bigdata
  NJU Master Course **Big Data Mining and Analysis**
  ☆132Updated 2 years ago
• sociocom / covid19_dataset
  ☆20Updated 4 years ago
• thunlp / COVID19-CountryImage
  Dataset of China's-image-related tweets during COVID-19 with aspect-level sentiment labels.
  ☆17Updated 4 years ago
• SocratesClub / machine-learning
  Machine Learning for Social Scientists
  ☆61Updated last year
• SocratesClub / summer-school
  南京大学2019年“计算社会科学”论文工作坊
  ☆14Updated 5 years ago
• JiaxiangBU / dynamic_topic_modeling
  dynamic topic modeling
  ☆40Updated 2 years ago
• AlanConstantine / SomeUsefulPyFile
  Some very useful python code files.
  ☆17Updated 7 years ago
• GSukr / dtmvisual
  This package consists of functionalities for dynamic topic modelling and its visualization
  ☆25Updated 5 years ago
• bensjx / Topic-Over-Time-LDA
  Using topic models to discover evolution of worldwide health issues
  ☆24Updated 6 years ago
• jcatw / ergm
  An implementation of the exponential random graph model
  ☆26Updated 11 years ago
• lidingruc / 2018R
  互联网与社会（PKU）
  ☆49Updated 6 years ago
• markoarnauto / biterm
  Biterm Topic Model
  ☆136Updated last year
• wansho / senti-weibo
  A sentiment analysis platform
  ☆47Updated 5 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
• dondealban / learning-stm
  Learning structural topic modeling using the stm R package.
  ☆127Updated 7 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
• data-journalism / dj2016
  南京大学2016年《数据新闻》课程
  ☆10Updated 7 years ago
• aronlindberg / Social-Network-Analysis-in-R
  Social-Network-Analysis-in-R
  ☆67Updated 12 years ago
• XinwenNI / LDA-DTM
  Latent Drichlet Allocation and Dynamic Topic Modeling
  ☆9Updated 3 years ago
• trajceskijovan / Structural-Topic-Modeling-in-R
  Structural Topic Modeling in R (published two articles on Medium). STM, LDA, metadata, NLP.
  ☆16Updated 3 years ago
• maximtrp / bitermplus
  Biterm Topic Model (BTM): modeling topics in short texts
  ☆82Updated 10 months ago
• Cesar456 / sentimentCN
  中文情感分析
  ☆18Updated 9 years ago