BTM
quanteda
BTM | quanteda | |
---|---|---|
1 | 5 | |
88 | 824 | |
- | 0.4% | |
0.0 | 9.7 | |
about 1 year ago | 9 days ago | |
C++ | R | |
Apache License 2.0 | GNU General Public License v3.0 only |
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.
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.
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
What are some alternatives?
vroom - Vehicle Routing Open-source Optimization Machine
dplyr - dplyr: A grammar of data manipulation
rstan - RStan, the R interface to Stan
empirist-corpus - A web and social media corpus based on the dataset of the EmpiriST 2015 shared task
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.
wesanderson - A Wes Anderson color palette for R
Rcpp - Seamless R and C++ Integration
tidytext - Text mining using tidy tools :sparkles::page_facing_up::sparkles:
readxl - Read excel files (.xls and .xlsx) into R 🖇
ggplot2 - An implementation of the Grammar of Graphics in R
rmarkdown - Dynamic Documents for R