tweetbotornot2
academictwitteR
| tweetbotornot2 | academictwitteR | |
|---|---|---|
| 1 | 2 | |
| 89 | 268 | |
| - | - | |
| 0.0 | 0.0 | |
| over 2 years ago | 10 months ago | |
| R | R | |
| GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
tweetbotornot2
academictwitteR
-
Desperate and sad beginner
Check this out: https://github.com/cjbarrie/academictwitteR/issues/108
-
Advice on methodologies for analysing large twitter datasets
So I scraped the twitter data using the AcademicTwitteR package in R (https://github.com/cjbarrie/academictwitteR/) and the Hansard data was from Evan Odell's dataset (https://zenodo.org/record/4843485#.YO6NgOhKiUk)
What are some alternatives?
tweetbotornot - 🤖 R package for detecting Twitter bots via machine learning
drake - An R-focused pipeline toolkit for reproducibility and high-performance computing
GetOldTweets-R - A project written in R to get old tweets, it bypass some limitations of Twitter Official API.
rstan - RStan, the R interface to Stan
rtweet - 🐦 R client for interacting with Twitter's [stream and REST] APIs
rmarkdown - Dynamic Documents for R
fastverse - An Extensible Suite of High-Performance and Low-Dependency Packages for Statistical Computing and Data Manipulation in R
sf - Simple Features for R
targets-tutorial - Short course on the targets R package
causalglm - Interpretable and model-robust causal inference for heterogeneous treatment effects using generalized linear working models with targeted machine-learning