quanteda.textmodels
Text scaling and classification models for quanteda
Science Score: 36.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
○.zenodo.json file
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✓DOI references
Found 4 DOI reference(s) in README -
○Academic publication links
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✓Committers with academic emails
2 of 7 committers (28.6%) from academic institutions -
○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (19.2%) to scientific vocabulary
Keywords from Contributors
corpus
quanteda
text-analytics
encoding
sentiment-analysis
lsa
text-analysis
Last synced: 10 months ago
·
JSON representation
Repository
Text scaling and classification models for quanteda
Basic Info
- Host: GitHub
- Owner: quanteda
- Language: R
- Default Branch: master
- Size: 13.5 MB
Statistics
- Stars: 45
- Watchers: 7
- Forks: 6
- Open Issues: 33
- Releases: 7
Created over 6 years ago
· Last pushed over 1 year ago
Metadata Files
Readme
Changelog
README.Rmd
---
output: github_document
---
```{r, echo = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "##",
fig.path = "man/images/"
)
```
```{r echo=FALSE, results="hide", message=FALSE}
library("badger")
```
# quanteda.textmodels
`r badge_cran_release("quanteda.textmodels", "green")`
`r badge_devel("quanteda/quanteda.textmodels", "royalblue")`
[](https://CRAN.R-project.org/package=quanteda.textmodels)
[](https://CRAN.R-project.org/package=quanteda.textmodels)
[](https://github.com/quanteda/quanteda.textmodels/actions/workflows/R-CMD-check.yaml)
[](https://app.codecov.io/gh/quanteda/quanteda.textmodels?branch=master)
## About
An R package adding text scaling models and classifiers for [**quanteda**](https://quanteda.io). Prior to **quanteda** v2, many of these were part of that package. Early development was supported by the European Research Council grant ERC-2011-StG 283794-QUANTESS.
For more details, see https://quanteda.io.
## How to Install
You can install it via the normal way from CRAN, using your R GUI or
```{r eval = FALSE}
install.packages("quanteda.textmodels")
```
Or for the latest development version:
```{r eval = FALSE}
# devtools package required to install quanteda from Github
remotes::install_github("quanteda/quanteda.textmodels")
```
Because this compiles some C++ and Fortran source code, you will need to have installed the appropriate compilers. **On Windows platform**, this means the [Rtools](https://CRAN.R-project.org/bin/windows/Rtools/) software available from CRAN, or the macOS tools from
[macOS tools](https://cran.r-project.org/bin/macosx/tools/), including
namely the Clang 6.x compiler and the GNU Fortran compiler (as **quanteda** requires gfortran to build). If you are still getting errors related to gfortran, follow the fixes [here](https://blog.thecoatlessprofessor.com/programming/rcpp-rcpparmadillo-and-os-x-mavericks--lgfortran-and--lquadmath-error/index.html).
## How to cite
Benoit, Kenneth, Kohei Watanabe, Haiyan Wang, Paul Nulty, Adam Obeng, Stefan Müller, and Akitaka Matsuo. (2018) "[quanteda: An R package for the quantitative analysis of textual data](https://www.theoj.org/joss-papers/joss.00774/10.21105.joss.00774.pdf)". _Journal of Open Source Software_. 3(30), 774. [https://doi.org/10.21105/joss.00774](https://doi.org/10.21105/joss.00774).
For a BibTeX entry, use the output from `citation(package = "quanteda")`.
## Leaving Feedback
If you like **quanteda**, please consider leaving [feedback or a testimonial here](https://github.com/quanteda/quanteda/issues/461).
## Contributing
Contributions in the form of feedback, comments, code, and bug reports are most welcome. How to contribute:
* Fork the source code, modify, and issue a [pull request](https://help.github.com/articles/creating-a-pull-request-from-a-fork/) through the [project GitHub page](https://github.com/quanteda/quanteda). See our [Contributor Code of Conduct](https://github.com/quanteda/quanteda/blob/master/CONDUCT.md) and the all-important **quanteda** [Style Guide](https://github.com/quanteda/quanteda/wiki/Style-guide).
* Issues, bug reports, and wish lists: [File a GitHub issue](https://github.com/quanteda/quanteda.textmodels/issues).
* Usage questions: Submit a question on the [**quanteda** channel on StackOverflow](https://stackoverflow.com/questions/tagged/quanteda).
* Contact [the maintainer](mailto:kbenoit@lse.ac.uk) by email.
Owner
- Name: Quanteda Initiative
- Login: quanteda
- Kind: organization
- Location: London, UK
- Website: https://quanteda.org
- Repositories: 21
- Profile: https://github.com/quanteda
GitHub Events
Total
- Create event: 1
- Release event: 1
- Issues event: 6
- Watch event: 4
- Issue comment event: 5
- Push event: 2
Last Year
- Create event: 1
- Release event: 1
- Issues event: 6
- Watch event: 4
- Issue comment event: 5
- Push event: 2
Committers
Last synced: about 1 year ago
Top Committers
| Name | Commits | |
|---|---|---|
| kbenoit | k****t@l****k | 95 |
| Kenneth Benoit | k****t@K****l | 32 |
| Kohei Watanabe | w****i@g****m | 19 |
| JBGruber | g****r@e****e | 4 |
| JBGruber | j****1@r****k | 3 |
| vriezer | 3****r | 2 |
| Stefan Müller | m****s@t****e | 1 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 10 months ago
All Time
- Total issues: 52
- Total pull requests: 20
- Average time to close issues: 4 months
- Average time to close pull requests: 22 days
- Total issue authors: 24
- Total pull request authors: 6
- Average comments per issue: 2.13
- Average comments per pull request: 1.85
- Merged pull requests: 16
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 4
- Pull requests: 1
- Average time to close issues: 14 days
- Average time to close pull requests: about 5 hours
- Issue authors: 2
- Pull request authors: 1
- Average comments per issue: 1.0
- Average comments per pull request: 1.0
- Merged pull requests: 1
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- kbenoit (19)
- randomgambit (3)
- koheiw (3)
- cschwem2er (2)
- KnutJaegersberg (2)
- claravdw (2)
- jrosen48 (2)
- stefan-mueller (2)
- jwijffels (2)
- vtmiller (1)
- JFChartier (1)
- kyuwon-lee (1)
- pchest (1)
- brousseauj (1)
- cownr10r (1)
Pull Request Authors
- kbenoit (12)
- koheiw (5)
- JBGruber (3)
- vriezer (1)
- stefan-mueller (1)
- YeWang1576 (1)
Top Labels
Issue Labels
CRAN (6)
bug (2)
enhancement (2)
help wanted (2)
Pull Request Labels
Packages
- Total packages: 3
-
Total downloads:
- cran 1,281 last-month
- Total docker downloads: 86
-
Total dependent packages: 9
(may contain duplicates) -
Total dependent repositories: 14
(may contain duplicates) - Total versions: 19
- Total maintainers: 1
proxy.golang.org: github.com/quanteda/quanteda.textmodels
- Documentation: https://pkg.go.dev/github.com/quanteda/quanteda.textmodels#section-documentation
-
Latest release: v0.9.9
published almost 2 years ago
Rankings
Dependent packages count: 5.5%
Average: 5.7%
Dependent repos count: 5.9%
Last synced:
10 months ago
cran.r-project.org: quanteda.textmodels
Scaling Models and Classifiers for Textual Data
- Homepage: https://github.com/quanteda/quanteda.textmodels
- Documentation: http://cran.r-project.org/web/packages/quanteda.textmodels/quanteda.textmodels.pdf
- License: GPL-3
-
Latest release: 0.9.10
published over 1 year ago
Rankings
Dependent packages count: 5.7%
Dependent repos count: 7.7%
Stargazers count: 7.9%
Downloads: 8.4%
Forks count: 9.6%
Average: 10.7%
Docker downloads count: 24.8%
Maintainers (1)
Last synced:
10 months ago
conda-forge.org: r-quanteda.textmodels
- Homepage: https://github.com/quanteda/quanteda.textmodels
- License: GPL-3.0-only
-
Latest release: 0.9.5
published almost 4 years ago
Rankings
Dependent repos count: 34.0%
Stargazers count: 40.1%
Average: 43.7%
Forks count: 49.6%
Dependent packages count: 51.2%
Last synced:
10 months ago
Dependencies
DESCRIPTION
cran
- R >= 3.1.0 depends
- methods * depends
- LiblineaR * imports
- Matrix >= 1.2 imports
- RSpectra * imports
- Rcpp >= 0.12.12 imports
- RcppParallel * imports
- SparseM * imports
- glmnet * imports
- quanteda >= 2.0 imports
- stringi * imports
- ca * suggests
- covr * suggests
- fastNaiveBayes * suggests
- knitr * suggests
- lsa * suggests
- microbenchmark * suggests
- naivebayes * suggests
- quanteda.textplots * suggests
- rmarkdown * suggests
- spelling * suggests
- testthat * suggests