The DOI matches its Crossref record.
tidytext: Text Mining and Analysis Using Tidy Data Principles in R
Open accessAbstract
Метою атестаційної роботи магістра є розробка та практична реалізація методів машинного навчання й засобів спрямованих на обробку статистичної інформації різної етимології на основі середовища Wolfram Mathematica та мови програмування Wolfram Language. Технології розробки: Wolfram Mathematica, Wolfram Language, C#. Технології для тестування: WolframUnit.
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Research works printed but not linked: 2
- Text Mining Infrastructure in R, Ingo Feinerer, Kurt Hornik and Meyer, David, 2008, Journal of Statistical Software, 25, 5, 1-54, http://www.jstatsoft.org/v25/i05/ · DOI · Paper page
- 10.18637/jss.v059.i10 · DOI · Paper page
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Bochenek, B., & Ustrnul, Z. (2022) · Atmosphere · doi:10.3390/atmos13020180 · Cited by 325
Social media use and mental health and well-being among adolescents: a scoping review
Schønning, V., Hjetland, G. J., Aarø, L. E., & Skogen, J. C. (2020) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.01949 · Cited by 288
Brady, W. J., Wills, J. A., Burkart, D., Jost, J. T., & Van Bavel, J. J. (2019) · Journal of Experimental Psychology: General · doi:10.1037/xge0000532 · Cited by 188
Draxler, F., Werner, A., Lehmann, F., Hoppe, M., Schmidt, A., Buschek, D., & Welsch, R. (2024) · ACM Transactions on Computer-Human Interaction · doi:10.1145/3637875 · Cited by 186
“Finally, we compute cosine similarity to compare texts using the tidytext package in R [95].”
Method
Metadata
- Authors
- Silge, J., & Robinson, D.
- Venue
- The Journal of Open Source Software
- Publisher
- The Open Journal
- Published
- 2016-07-11
- Volume
- 1
- Issue
- 3
- Pages
- 37
- ISSN
- 2475-9066 (ISSN-L)
- OpenAlex
- W2465750682
- Cited by
- 941
- References
- 0
- Type
- software paper
- Language
- en
- Open access
- diamond
- Licence
- creativecommons.org/licenses/by/4.0/ (vor)
- creativecommons.org/licenses/by/4.0/ (am)
- creativecommons.org/licenses/by/4.0/ (tdm)
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- The paper
- Silge, J., & Robinson, D. (2016). tidytext: Text Mining and Analysis Using Tidy Data Principles in R. The Journal of Open Source Software. https://doi.org/10.21105/joss.00037
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
