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Computational Film Analysis with R

10 References

10.1 Works cited

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Pearlman, K. (2017) Editing and cognition beyond continuity, Projections 11 (2): 67–86. https://doi.org/10.3167/proj.2017.110205
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Redfern, N. (2007) Constructing movement in the cinema, New Review of Film and Television Studies 5 (2): 173–189. https://doi.org/10.1080/17400300701432860
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Redfern, N. (2014b) Robust Estimation of the mAR Index of High Grossing Films at the US Box Office, 1935 to 2005, Journal of Data Science 12 (2): 277–291. https://doi.org/10.6339/JDS.201404_12(2).0004
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Redfern, N. (2021a) Colour palettes in US film trailers: a comparative analysis of movie barcode, Umanistica Digitale: 251–270. https://doi.org/10.6092/ISSN.2532-8816/12468
Redfern, N. (2021b) Early Hitchcock. (Version 1) [Data set] Zenodo. https://doi.org/10.5281/zenodo.4871227
Redfern, N. (2021c) The soundtrack of the Sinister trailer, Acta Universitatis Sapientiae, Film and Media Studies 20 (1): 36–51. https://doi.org/10.2478/ausfm-2021-0013
Redfern, N. (2022) Computational analysis of film audio. https://doi.org/10.5281/zenodo.6472560
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Salway, A. (2007) A corpus-based analysis of audio description, in J. Díaz Cintas, P. Orero, & A. Remael (eds.) Media for All: Subtitling for the Deaf, Audio Description, and Sign Language. Amsterdam: Brill: 151–174.
Salway, A., Lehane, B., & O’Connor, N. E. (2007) Associating characters with events in films, Proceedings of the 6th ACM international conference on image and video retrieval - CIVR ’07 (2007) : 510–517. https://doi.org/10.1145/1282280.1282354
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Wickham, H., & Grolemund, G. (2017) R for Data Science: Import, Tidy, Transform, Visualize, and Model Data. Sebastopol, CA: O’Reilly Media, Inc.
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10.2 R Packages

Andri et mult. al., S. (2021) DescTools: Tools for Descriptive Statistics. https://cran.r-project.org/package=DescTools
Anikin, A. (2019) soundgen: an open-source tool for synthesizing nonverbal vocalizations, Behavior Research Methods 51 (2): 778–792. https://doi.org/10.3758/s13428-018-1095-7
Araya‐Salas, M., & Smith‐Vidaurre, G. (2017) warbleR: An R Package to Streamline Analysis of Animal Acoustic Signals, Methods in Ecology and Evolution 8 (2): 184–191. https://doi.org/10.1111/2041-210X.12624
Ardia, D., Bluteau, K., Borms, S., & Boudt, K. (2021) The R Package sentometrics to compute, aggregate, and predict with textual sentiment, Journal of Statistical Software 99 (2): 1–40. https://doi.org/10.18637/jss.v099.i02
Arnold, T. B. (2020) cleanNLP: A Tidy Data Model for Natural Language Processing. https://statsmaths.github.io/cleanNLP/
Arnold, T., & Tilton, L. (2016) coreNLP: Wrappers around Stanford CoreNLP Tools. https://CRAN.R-project.org/package=coreNLP
Barthelme, S. (2022) imager: Image Processing Library Based on CImg. https://CRAN.R-project.org/package=imager
Bengtsson, H. (2022) R.utils: Various Programming Utilities. https://CRAN.R-project.org/package=R.utils
Benoit, K., Watanabe, K., Wang, H., Nulty, P., Obeng, A., Müller, S., & Matsuo, A. (2018) quanteda: An R Package for the Quantitative Analysis of Textual Data, Journal of Open Source Software 3 (30): 774. https://doi.org/10.21105/joss.00774
Buonocore, T. (2019) Exploring chromatic storytelling in movies with R. https://towardsdatascience.com/exploringchromatic-storytelling-with-r-part-1-8e9ddf8d4187
de Vries, A., & Ripley, B. D. (2022) ggdendro: Create Dendrograms and Tree Diagrams Using ’ggplot2’. https://CRAN.R-project.org/package=ggdendro
Eder, M., Rybicki, J., & Kestemont, M. (2016) Stylometry with R: a package for computational text analysis, R Journal 8 (1): 107–121. https://journal.r-project.org/archive/2016/RJ-2016-007/index.html
Eder, M., Rybicki, J., Kestemont, M., & Pielstroem, S. (2020) Stylo: Stylometric multivariate analyses. https://github.com/computationalstylistics/stylo
Feinerer, I., Hornik, K., & Meyer, D. (2008) Text mining infrastructure in R, Journal of Statistical Software 25 (5): 1–54. https://www.jstatsoft.org/v25/i05/
Garnier, S. (2021) viridis: Colorblind-Friendly Color Maps for R. https://CRAN.R-project.org/package=viridis
Grün, B., & Hornik, K. (2011) topicmodels: an R Package for fitting topic models, Journal of Statistical Software 40 (13): 1–30. https://doi.org/10.18637/jss.v040.i13
Gu, Z., Gu, L., Eils, R., Schlesner, M., & Brors, B. (2014) circlize implements and enhances circular visualization in R, Bioinformatics 30: 2811–2812.
Harrell, F. E., Jr. (2021) Hmisc: Harrell Miscellaneous. https://hbiostat.org/R/Hmisc/
Hausser, J., & Strimmer, K. (2021) entropy: Estimation of Entropy, Mutual Information and Related Quantities. https://CRAN.R-project.org/package=entropy
Hennig, C. (2020) fpc: Flexible Procedures for Clustering. https://www.unibo.it/sitoweb/christian.hennig/en/
Hester, J., Henry, L., Müller, K., Ushey, K., Wickham, H., & Chang, W. (2022) withr: Run Code ’With’ Temporarily Modified Global State. https://CRAN.R-project.org/package=withr
Jockers, M. (2020) syuzhet: Extracts Sentiment and Sentiment-Derived Plot Arcs from Text. https://github.com/mjockers/syuzhet
Kassambara, A. (2020) ggpubr: ggplot2 Based Publication Ready Plots. https://rpkgs.datanovia.com/ggpubr/
Kassambara, A., & Mundt, F. (2020) factoextra: Extract and Visualize the Results of Multivariate Data Analyses. https://CRAN.R-project.org/package=factoextra
Keck, F. (2019) subtools: Read and Manipulate Video Subtitles.
Kolde, R. (2019) pheatmap: Pretty Heatmaps. https://CRAN.R-project.org/package=pheatmap
Lê, S., Josse, J., & Husson, F. (2008) FactoMineR: A package for multivariate analysis, Journal of Statistical Software 25 (1): 1–18. https://doi.org/10.18637/jss.v025.i01
Ligges, U. (2021) tuneR: Analysis of Music and Speech. https://CRAN.R-project.org/package=tuneR
Müller, K. (2020) here: A Simpler Way to Find Your Files. https://CRAN.R-project.org/package=here
Nicholls, K. (2021) srt: Read Subtitle Files as Tabular Data. https://CRAN.R-project.org/package=srt
Ooms, J. (2022) av: Working with Audio and Video in R. https://CRAN.R-project.org/package=av
Pedersen, T. L., Nicolae, B., & François, R. (2021) farver: High Performance Colour Space Manipulation. https://CRAN.R-project.org/package=farver
Proellochs, N., & Feuerriegel, S. (2021) SentimentAnalysis: Dictionary-Based Sentiment Analysis. https://CRAN.R-project.org/package=SentimentAnalysis
R Core Team (2021) R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing. https://www.R-project.org/
Rinker, T. (2021) sentimentr: Calculate Text Polarity Sentiment. https://github.com/trinker/sentimentr
Rinker, T. W. (2018a) lexicon: Lexicon Data. http://github.com/trinker/lexicon
Rinker, T. W. (2018b) textclean: Text Cleaning Tools. https://github.com/trinker/textclean
Rinker, T., & Kurkiewicz, D. (2019) pacman: Package Management Tool. https://github.com/trinker/pacman
Robette, N. (2022) GDAtools: A Toolbox for Geometric Data Analysis and More. https://CRAN.R-project.org/package=GDAtools
Roehrick, K. (2020) vader: Valence Aware Dictionary and sEntiment Reasoner (VADER). https://CRAN.R-project.org/package=vader
Sievert, C., Parmer, C., Hocking, T., Chamberlain, S., Ram, K., Corvellec, M., & Despouy, P. (2021) plotly: Create Interactive Web Graphics via plotly.js. https://CRAN.R-project.org/package=plotly
Silge, J., & Robinson, D. (2016) tidytext: text mining and analysis using tidy data principles in R, Journal of Open Source Software 1 (3). https://doi.org/10.21105/joss.00037
Slowikowski, K. (2021) ggrepel: Automatically Position Non-Overlapping Text Labels with ggplot2. https://CRAN.R-project.org/package=ggrepel
Spedicato, G. A. (2017) Discrete time Markov chains with R, The R Journal. https://journal.r-project.org/archive/2017/RJ-2017-036/index.html
Sueur, J., Aubin, T., & Simonis, C. (2022) seewave: Sound Analysis and Synthesis. https://rug.mnhn.fr/seewave/
Todorov, V., Ruckstuhl, A., Salibian-Barrera, M., Verbeke, T., Koller, M., & Maechler, M. (2021) robustbase: Basic Robust Statistics. https://robustbase.R-forge.R-project.org/
Wickham, H. (2019) stringr: Simple, Consistent Wrappers for Common String Operations. https://CRAN.R-project.org/package=stringr
Wickham, H., Averick, M., Bryan, J., Chang, W., McGowan, L. D., François, R., Grolemund, G., Hayes, A., Henry, L., Hester, J., Kuhn, M., Pedersen, T. L., Miller, E., Bache, S. M., Müller, K., Ooms, J., Robinson, D., Seidel, D. P., Spinu, V., … Yutani, H. (2019) Welcome to the tidyverse, Journal of Open Source Software 4 (43): 1686. https://doi.org/10.21105/joss.01686
Wickham, H., Hester, J., Chang, W., & Bryan, J. (2021) devtools: Tools to Make Developing R Packages Easier. https://CRAN.R-project.org/package=devtools
Wickham, H., & Seidel, D. (2020) scales: Scale Functions for Visualization. https://CRAN.R-project.org/package=scales
Wilke, C. O. (2021) ggridges: Ridgeline Plots in ggplot2. https://wilkelab.org/ggridges/
Wilkins, D. (2021) treemapify: Draw Treemaps in ggplot2. https://wilkox.org/treemapify/