awesome-computational-social-science VS textfeatures

Compare awesome-computational-social-science vs textfeatures and see what are their differences.

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awesome-computational-social-science textfeatures
1 1
458 167
5.7% -
6.4 0.0
2 months ago over 3 years ago
R R
Creative Commons Zero v1.0 Universal 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.

awesome-computational-social-science

Posts with mentions or reviews of awesome-computational-social-science. We have used some of these posts to build our list of alternatives and similar projects.

textfeatures

Posts with mentions or reviews of textfeatures. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-08-18.

What are some alternatives?

When comparing awesome-computational-social-science and textfeatures you can also consider the following projects:

tidytext - Text mining using tidy tools :sparkles::page_facing_up::sparkles:

tweetbotornot - 🤖 R package for detecting Twitter bots via machine learning

DataScienceR - a curated list of R tutorials for Data Science, NLP and Machine Learning

tmle3mopttx - 🎯 💯 Targeted Learning and Variable Importance for the Causal Effect of an Optimal Individualized Treatment Intervention

awesome-R - A curated list of awesome R packages, frameworks and software.

r-naive-bayes-showcase - Naive Bayes classifier in R

vip - Variable Importance Plots (VIPs)

spacyr - R wrapper to spaCy NLP

vswift - Tools created for machine learning model evaluation