textfeatures
👷♂️ A simple package for extracting useful features from character objects 👷♀️ (by mkearney)
tmle3mopttx
🎯 💯 Targeted Learning and Variable Importance for the Causal Effect of an Optimal Individualized Treatment Intervention (by tlverse)
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textfeatures | tmle3mopttx | |
---|---|---|
1 | 1 | |
167 | 10 | |
- | - | |
0.0 | 0.0 | |
over 3 years ago | over 1 year ago | |
R | R | |
GNU General Public License v3.0 or later | GNU General Public License v3.0 only |
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.
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.
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Using dictionaries to check text in R, language processing
TextFeatures can be used to create a summary table of occurrences of text features like number of unique words, etc. Don't know if it does nouns or verbs.
tmle3mopttx
Posts with mentions or reviews of tmle3mopttx.
We have used some of these posts to build our list of alternatives
and similar projects.
-
[D] Is there a such thing as "Prespective Statistical Models"?
This package and the references therein allows for nonparametric estimation and inference for the optimal dynamic treatment: https://github.com/tlverse/tmle3mopttx.
What are some alternatives?
When comparing textfeatures and tmle3mopttx you can also consider the following projects:
tweetbotornot - 🤖 R package for detecting Twitter bots via machine learning
lmtp - :package: Non-parametric Causal Effects Based on Modified Treatment Policies :crystal_ball:
r-naive-bayes-showcase - Naive Bayes classifier in R
ParBayesianOptimization - Parallelizable Bayesian Optimization in R
vip - Variable Importance Plots (VIPs)
spacyr - R wrapper to spaCy NLP
causalglm - Interpretable and model-robust causal inference for heterogeneous treatment effects using generalized linear working models with targeted machine-learning
vswift - Tools created for machine learning model evaluation
awesome-computational-social-science - A list of awesome resources for Computational Social Science