textfeatures VS awesome-computational-social-science

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

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textfeatures awesome-computational-social-science
1 1
167 458
- 5.7%
0.0 6.4
over 3 years ago 2 months ago
R R
GNU General Public License v3.0 or later Creative Commons Zero v1.0 Universal
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.

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.

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.

What are some alternatives?

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

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

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

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

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

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

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

vip - Variable Importance Plots (VIPs)

spacyr - R wrapper to spaCy NLP

vswift - Tools created for machine learning model evaluation