tweetbotornot
🤖 R package for detecting Twitter bots via machine learning (by mkearney)
academictwitteR
Repo for academictwitteR package to query the Twitter Academic Research Product Track v2 API endpoint. (by cjbarrie)
tweetbotornot | academictwitteR | |
---|---|---|
2 | 2 | |
385 | 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 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
tweetbotornot
Posts with mentions or reviews of tweetbotornot.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-06-22.
- Grabe.
-
Does anyone know an R package for detecting Twitter Bots? (except tweetbotornot)
Hi, first of all, I know the "tweetbotornot" (which I used once about 1 year ago) package however, it's very old and it doesn't fit with the last updates of R. Both CRAN and devtools installations occur errors related to the R version. ( see: https://github.com/mkearney/tweetbotornot )
academictwitteR
Posts with mentions or reviews of academictwitteR.
We have used some of these posts to build our list of alternatives
and similar projects.
-
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?
When comparing tweetbotornot and academictwitteR you can also consider the following projects:
tweetbotornot2 - 🔍🐦🤖 Detect Twitter Bots!
GetOldTweets-R - A project written in R to get old tweets, it bypass some limitations of Twitter Official API.
drake - An R-focused pipeline toolkit for reproducibility and high-performance computing
tidyqpcr - quantitative PCR analysis with the tidyverse
rstan - RStan, the R interface to Stan
textfeatures - 👷♂️ A simple package for extracting useful features from character objects 👷♀️
rmarkdown - Dynamic Documents for R
miceRanger - miceRanger: Fast Imputation with Random Forests in R
sf - Simple Features for R
r-naive-bayes-showcase - Naive Bayes classifier in R
healthyR.ts - A time-series companion package to healthyR
tweetbotornot vs tweetbotornot2
academictwitteR vs tweetbotornot2
tweetbotornot vs GetOldTweets-R
academictwitteR vs drake
tweetbotornot vs tidyqpcr
academictwitteR vs rstan
tweetbotornot vs textfeatures
academictwitteR vs rmarkdown
tweetbotornot vs miceRanger
academictwitteR vs sf
tweetbotornot vs r-naive-bayes-showcase
tweetbotornot vs healthyR.ts