stylest
R package for estimating speaker style distinctiveness in texts. Install it from CRAN!
Science Score: 23.0%
This score indicates how likely this project is to be science-related based on various indicators:
-
○CITATION.cff file
-
○codemeta.json file
-
○.zenodo.json file
-
✓DOI references
Found 4 DOI reference(s) in README -
○Academic publication links
-
✓Committers with academic emails
1 of 3 committers (33.3%) from academic institutions -
○Institutional organization owner
-
○JOSS paper metadata
-
○Scientific vocabulary similarity
Low similarity (14.5%) to scientific vocabulary
Keywords
classification
r
text-analysis
Last synced: 6 months ago
·
JSON representation
Repository
R package for estimating speaker style distinctiveness in texts. Install it from CRAN!
Basic Info
- Host: GitHub
- Owner: leslie-huang
- Language: R
- Default Branch: master
- Homepage: https://leslie-huang.github.io/stylest/
- Size: 280 KB
Statistics
- Stars: 34
- Watchers: 4
- Forks: 4
- Open Issues: 1
- Releases: 0
Topics
classification
r
text-analysis
Created over 7 years ago
· Last pushed almost 5 years ago
Metadata Files
Readme
README.Rmd
---
output: github_document
---
```{r, echo = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
fig.path = "README-"
)
```
[](https://travis-ci.org/leslie-huang/stylest) [](https://ci.appveyor.com/project/leslie-huang/stylest)
# stylest version 0.2.0
`stylest` estimates speaker style distinctiveness.
## Installation
Install `stylest` from CRAN by executing:
```{r eval = FALSE}
install.packages("stylest")
```
The dev version of `stylest` on GitHub may have additional features (and bugs) and is not guaranteed to be stable. Power users may install it with:
```{r gh-installation, eval = FALSE}
# install.packages("devtools")
# devtools::install_github("leslie-huang/stylest")
```
See the vignette for examples and usage.
## Authors
Leslie Huang (maintainer)
Patrick O. Perry
Arthur Spirling
## Citation
If you use this software, please cite:
Huang, L., Perry, P., & Spirling, A. (2020). A General Model of Author “Style” with Application to the UK House of Commons, 1935–2018. Political Analysis, 28(3), 412-434. [https://doi.org/10.1017/pan.2019.49](https://doi.org/10.1017/pan.2019.49)
```
@article{huang2020general,
title={A General Model of Author “Style” with Application to the UK House of Commons, 1935--2018},
author={Huang, Leslie and Perry, Patrick O and Spirling, Arthur},
journal={Political Analysis},
volume={28},
number={3},
pages={412--434},
year={2020},
publisher={Cambridge University Press}
}
```
## Bug reports
Please submit any bugs, error reports, etc. on GitHub.
Owner
- Name: Leslie Huang
- Login: leslie-huang
- Kind: user
- Website: http://leslie-huang.github.io/
- Repositories: 5
- Profile: https://github.com/leslie-huang
Data Science PhD candidate @nyu
GitHub Events
Total
- Watch event: 1
Last Year
- Watch event: 1
Committers
Last synced: almost 3 years ago
All Time
- Total Commits: 72
- Total Committers: 3
- Avg Commits per committer: 24.0
- Development Distribution Score (DDS): 0.444
Top Committers
| Name | Commits | |
|---|---|---|
| leslie-huang | l****g@g****m | 40 |
| leslie-huang | l****g@n****u | 27 |
| Leslie Huang | l****g@u****m | 5 |
Committer Domains (Top 20 + Academic)
nyu.edu: 1
Issues and Pull Requests
Last synced: over 1 year ago
All Time
- Total issues: 1
- Total pull requests: 10
- Average time to close issues: N/A
- Average time to close pull requests: about 4 hours
- Total issue authors: 1
- Total pull request authors: 2
- Average comments per issue: 8.0
- Average comments per pull request: 0.4
- Merged pull requests: 10
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- leslie-huang (1)
Pull Request Authors
- leslie-huang (9)
- conjugateprior (1)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 1
-
Total downloads:
- cran 218 last-month
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 2
- Total maintainers: 1
cran.r-project.org: stylest
Estimating Speaker Style Distinctiveness
- Homepage: https://github.com/leslie-huang/stylest
- Documentation: http://cran.r-project.org/web/packages/stylest/stylest.pdf
- License: GPL-3
- Status: removed
-
Latest release: 0.2.0
published almost 5 years ago
Rankings
Stargazers count: 9.4%
Forks count: 17.8%
Dependent packages count: 29.8%
Average: 30.2%
Dependent repos count: 35.5%
Downloads: 58.7%
Maintainers (1)
Last synced:
11 months ago
Dependencies
DESCRIPTION
cran
- R >= 2.10 depends
- Matrix * imports
- corpus * imports
- stats * imports
- kableExtra * suggests
- knitr * suggests
- rmarkdown * suggests
- testthat * suggests