quanteda
BTM
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quanteda | BTM | |
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5 | 1 | |
824 | 88 | |
1.2% | - | |
9.7 | 0.0 | |
11 days ago | about 1 year ago | |
R | C++ | |
GNU General Public License v3.0 only | Apache License 2.0 |
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.
quanteda
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Error: could not find function "textstat_frequency"
> library(quanteda) Package version: 3.2.3 Unicode version: 14.0 ICU version: 70.1 Parallel computing: 8 of 8 threads used. See https://quanteda.io for tutorials and examples.
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finding out comment similarity in R?
Suggest you look into https://quanteda.io/
- Ideas for thesis using R to analyse public media's opinion on topic
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best text mining packages?
Quanteda is probably worth checking out.
- Natural language processing in R
BTM
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best text mining packages?
For brief description you can refer to the BTM repo. If you want to go into detail just read the paper on BTM which is also linked there. Otherwise i strongly suggest you to keep things tidy/stick with tidytext.
What are some alternatives?
dplyr - dplyr: A grammar of data manipulation
vroom - Vehicle Routing Open-source Optimization Machine
empirist-corpus - A web and social media corpus based on the dataset of the EmpiriST 2015 shared task
rstan - RStan, the R interface to Stan
wesanderson - A Wes Anderson color palette for R
LightGBM - A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
tidytext - Text mining using tidy tools :sparkles::page_facing_up::sparkles:
Rcpp - Seamless R and C++ Integration
ggplot2 - An implementation of the Grammar of Graphics in R
readxl - Read excel files (.xls and .xlsx) into R 🖇
rmarkdown - Dynamic Documents for R