syuzhet
An R package for the extraction of sentiment and sentiment-based plot arcs from text
Science Score: 10.0%
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1 of 12 committers (8.3%) from academic institutions -
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Low similarity (10.6%) to scientific vocabulary
Keywords from Contributors
Repository
An R package for the extraction of sentiment and sentiment-based plot arcs from text
Basic Info
- Host: GitHub
- Owner: mjockers
- Language: HTML
- Default Branch: master
- Size: 41.6 MB
Statistics
- Stars: 338
- Watchers: 29
- Forks: 72
- Open Issues: 9
- Releases: 3
Metadata Files
README.md
Syuzhet
An R package for the extraction of sentiment and sentiment-based plot arcs from text.
The name "Syuzhet" comes from the Russian Formalists Victor Shklovsky and Vladimir Propp who divided narrative into two components, the "fabula" and the "syuzhet." Syuzhet refers to the "device" or technique of a narrative whereas fabula is the chronological order of events. Syuzhet, therefore, is concerned with the manner in which the elements of the story (fabula) are organized (syuzhet).
The Syuzhet package attempts to reveal the latent structure of narrative by means of sentiment analysis. Instead of detecting shifts in the topic or subject matter of the narrative (as Ben Schmidt has done), the Syuzhet package reveals the emotional shifts that serve as proxies for the narrative movement between conflict and conflict resolution. This was an idea inspired by the late Kurt Vonnegut in an essay titled "Here's a Lesson in Creative Writing" in his collection A Man Without A Country ( Random House, 2007). A lecture Vonnegut gave on this subject is available via youTube
Thanks to Lincoln Mullen for early feedback on this package (see http://rpubs.com/lmullen/58030).
Installation
This package is now available on CRAN (http://cran.r-project.org/web/packages/syuzhet/).
R
install.packages("syuzhet")
You can install the most current development version from gitHub using the devtools package:
```R
install.packages("devtools")
devtools::install_github("mjockers/syuzhet") ```
References
Syuzhet incorporates four sentiment lexicons:
The default "Syuzhet" lexicon was developed in the Nebraska Literary Lab under the direction of Matthew L. Jockers
The "afinn" lexicon was developed by Finn Arup Nielsen as the AFINN WORD DATABASE See: See http://www2.imm.dtu.dk/pubdb/views/publication_details.php?id=6010 The AFINN database of words is copyright protected and distributed under "Open Database License (ODbL) v1.0" http://www.opendatacommons.org/licenses/odbl/1.0/ or a similar copyleft license.
The "bing" lexicon was developed by Minqing Hu and Bing Liu as the OPINION LEXICON See: http://www.cs.uic.edu/~liub/FBS/sentiment-analysis.html
The "nrc" lexicon was developed by Mohammad, Saif M. and Turney, Peter D. as the NRC EMOTION LEXICON.
See: http://saifmohammad.com/WebPages/lexicons.html
The NRC EMOTION LEXICON is released under the following terms of use:
Terms of use:
- This lexicon can be used freely for research purposes.
- The papers listed below provide details of the creation and use of the lexicon. If you use a lexicon, then please cite the associated papers.
- If interested in commercial use of the lexicon, send email to the contact.
- If you use the lexicon in a product or application, then please credit the authors and NRC appropriately. Also, if you send us an email, we will be thrilled to know about how you have used the lexicon.
- National Research Council Canada (NRC) disclaims any responsibility for the use of the lexicon and does not provide technical support. However, the contact listed above will be happy to respond to queries and clarifications.
- Rather than redistributing the data, please direct interested parties to this page: http://www.purl.com/net/lexicons
-- Crowdsourcing a Word-Emotion Association Lexicon, Saif Mohammad and Peter Turney, To Appear in Computational Intelligence, Wiley Blackwell Publishing Ltd.
-- Tracking Sentiment in Mail: How Genders Differ on Emotional Axes, Saif Mohammad and Tony Yang, In Proceedings of the ACL 2011 Workshop on ACL 2011 Workshop on Computational Approaches to Subjectivity and Sentiment Analysis (WASSA), June 2011, Portland, OR. Paper (pdf)
-- From Once Upon a Time to Happily Ever After: Tracking Emotions in Novels and Fairy Tales, Saif Mohammad, In Proceedings of the ACL 2011 Workshop on Language Technology for Cultural Heritage, Social Sciences, and Humanities (LaTeCH), June 2011, Portland, OR. Paper
-- Emotions Evoked by Common Words and Phrases: Using Mechanical Turk to Create an Emotion Lexicon", Saif Mohammad and Peter Turney, In Proceedings of the NAACL-HLT 2010 Workshop on Computational Approaches to Analysis and Generation of Emotion in Text, June 2010, LA, California.
Links to the papers are available here: http://www.purl.org/net/NRCemotionlexicon
CONTACT INFORMATION Saif Mohammad Research Officer, National Research Council Canada email: saif.mohammad@nrc-cnrc.gc.ca phone: +1-613-993-0620
Owner
- Name: Matthew L. Jockers
- Login: mjockers
- Kind: user
- Location: Pullman, WA
- Company: Washington State University
- Website: http://www.matthewjockers.net
- Repositories: 2
- Profile: https://github.com/mjockers
GitHub Events
Total
- Watch event: 4
- Issue comment event: 1
Last Year
- Watch event: 4
- Issue comment event: 1
Committers
Last synced: about 2 years ago
Top Committers
| Name | Commits | |
|---|---|---|
| mjockers | m****s@g****m | 114 |
| Lincoln Mullen | l****n@l****m | 7 |
| Philip Bulsink | b****p@g****m | 4 |
| Tommy M. McGuire | m****e@c****t | 3 |
| ChrisMuir | c****A@g****m | 2 |
| Matthew Jockers | m****s@C****l | 2 |
| Matthew Jockers | m****s@w****u | 2 |
| Tyler | t****r@g****m | 1 |
| Tyler Rinker | t****r@c****m | 1 |
| amrrs | a****s@o****m | 1 |
| ironholds | i****s@g****m | 1 |
| Hadley Wickham | h****m@g****m | 1 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 12 months ago
All Time
- Total issues: 33
- Total pull requests: 13
- Average time to close issues: 4 months
- Average time to close pull requests: 3 months
- Total issue authors: 29
- Total pull request authors: 10
- Average comments per issue: 2.82
- Average comments per pull request: 1.08
- 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
- lmullen (3)
- quinnanya (2)
- trinker (2)
- stefannisch (1)
- lisagy (1)
- Nashev (1)
- danielgandolfi (1)
- fronoso (1)
- cstubben (1)
- vbomiv (1)
- ktdesignbox (1)
- TerencePatrick (1)
- AdamWeishaupt (1)
- bmschmidt (1)
- M-Colley (1)
Pull Request Authors
- lmullen (3)
- trinker (2)
- Ironholds (1)
- pbulsink (1)
- amrrs (1)
- denrou (1)
- hadley (1)
- miserman (1)
- ChrisMuir (1)
- tmmcguire (1)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 3
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Total downloads:
- cran 6,523 last-month
- Total docker downloads: 863
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Total dependent packages: 10
(may contain duplicates) -
Total dependent repositories: 15
(may contain duplicates) - Total versions: 11
- Total maintainers: 1
proxy.golang.org: github.com/mjockers/syuzhet
- Documentation: https://pkg.go.dev/github.com/mjockers/syuzhet#section-documentation
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Latest release: v1.0.4
published over 8 years ago
Rankings
cran.r-project.org: syuzhet
Extracts Sentiment and Sentiment-Derived Plot Arcs from Text
- Homepage: https://github.com/mjockers/syuzhet
- Documentation: http://cran.r-project.org/web/packages/syuzhet/syuzhet.pdf
- License: GPL-3
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Latest release: 1.0.7
published almost 3 years ago
Rankings
Maintainers (1)
conda-forge.org: r-syuzhet
- Homepage: https://github.com/mjockers/syuzhet
- License: GPL-3.0-only
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Latest release: 1.0.6
published over 5 years ago
Rankings
Dependencies
- R >= 3.5.0 depends
- NLP * imports
- dplyr * imports
- dtt * imports
- graphics * imports
- rlang * imports
- stats * imports
- textshape >= 1.3.0 imports
- tidyr * imports
- zoo * imports
- devtools * suggests
- knitr * suggests
- pander * suggests
- parallel * suggests
- readxl * suggests
- rmarkdown * suggests
- stringr * suggests
- testthat >= 0.9.1 suggests