tidytext: Text Mining and Analysis Using Tidy Data Principles in R

Silge, Julia; Robinson, David M.

doi:10.21105/joss.00037

Cited by 804 publications

(650 citation statements)

References 4 publications

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“…We used text analyses to quantify the most frequently used words or terms in presentation titles. We used the tidytext (Silge & Robinson ) package to extract text‐based data into a format ready to be analyzed and parsed. To quantify the top terms, we split the titles into separate words or bigrams and removed stop words (the most common short function words, such as the, is, at, which , and on ) based on a custom list (Supporting Information).…”

Section: Methodsmentioning

confidence: 99%

From conference abstract to publication in the conservation science literature

Arregoitia

González‐Suárez

2019

Conservation Biology

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Every 2 years, the conservation community comes together at The Society for Conservation Biology's International Congress for Conservation Biology (ICCB) to share new developments in conservation science and practice. Publication of findings presented at conferences in scientific journals adds to the permanent record and helps increase the potential impact of the work presented. However, quantitative research on publication rates for meetings relevant to conservation is lacking. For the 25th ICCB, (Auckland, New Zealand in 2011), we examined study publication rates and presenter demographics, recorded titles, number of authors, presenter affiliations, gender, country of the study region, publication status, and elapsed time between presentation and publication. Of the 980 contributions (782 talks and 198 posters), 587 (60%) were published as peer‐reviewed journal articles or book chapters. Mean time to publication was 13.7 months for all presentation abstracts and 21.3 months excluding abstracts with corresponding articles that were published before the meeting. The gender breakdown of presenters was almost even (53% male, 47% female), but representation of the countries where the presenting authors were based was skewed. The political units with the most contributions were by far the United States, Australia, New Zealand, and the United Kingdom. Presenters based in 16 different English‐speaking countries made up 74% of the total sample, but this did not influence the likelihood of their abstract leading to a publication. Examination of conference presenters and publication of their presentations is useful to identify biases and potential challenges that need to be addressed to make conference communications permanent and increase their reach beyond conference attendees.

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Section: Methodsmentioning

confidence: 99%

From conference abstract to publication in the conservation science literature

Arregoitia

González‐Suárez

2019

Conservation Biology

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“…Developing these specialized tools using the core tidyverse principles means that the tools can more easily be adopted into workflows by a wider range of analysts. An example, well-suited to this sample analysis, is tidytext (Silge & Robinson 2016). Created by Julia Silge and David Robinson, tidytext provides a set of "tidy" tools for handling text data.…”

Section: Using Tidytext To Analyze Textmentioning

confidence: 99%

Declutter your R workflow with tidy tools

Ross

Wickham²,

Robinson³

2017

Preprint

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The R language has withstood the test of time. Forty years after it was initially developed (in the form of the S language) R is being used by millions of programmers on workflows the inventors of the language could never have imagined. Although base R packages perform well in most settings, workflows can be made more efficient by developing packages with more consistent arguments, inputs and outputs and emphasizing constantly improving code over historical code consistency. The universe of R packages known as the tidyverse, including dplyr, tidyr and others, aim to improve workflows and make data analysis as smooth as possible by applying a set of core programming principles in package development.

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“…We also build an interactive network visualization (see figure 3) using sigma.js to make it interoperable with TextImager. tidytext The tidytext package (Silge and Robinson, 2016) provides functionality to create datasets following the tidy data principles (Wickham, 2014). We used it with our tm based corpus to calculate TF-IDF information of documents.…”

Section: R-packagesmentioning

confidence: 99%

TextImager as a Generic Interface to R

Uslu

Hemati

Mehler

et al. 2017

Proceedings of the Software Demonstrations of the 15th Conference Of the European Chapter of the Association for Comp

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R is a very powerful framework for statistical modeling. Thus, it is of high importance to integrate R with state-of-theart tools in NLP. In this paper, we present the functionality and architecture of such an integration by means of TextImager. We use the OpenCPU API to integrate R based on our own R-Server. This allows for communicating with R-packages and combining them with TextImager's NLPcomponents.

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tidytext: Text Mining and Analysis Using Tidy Data Principles in R

Abstract: The tidytext package (Silge, Robinson, and Hester 2016) is an R package (R Core Team 2016) for text mining using tidy data principles. As described by Hadley Wickham (Wickham 2014), tidy data has a specific structure:

Cited by 804 publications

References 4 publications

From conference abstract to publication in the conservation science literature

From conference abstract to publication in the conservation science literature

Declutter your R workflow with tidy tools

TextImager as a Generic Interface to R

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