The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
Text Analysis in R
Open accessAbstract
Computational text analysis has become an exciting research field with many applications in communication research. It can be a difficult method to apply, however, because it requires knowledge of various techniques, and the software required to perform most of these techniques is not readily available in common statistical software packages. In this teacher’s corner, we address these barriers by providing an overview of general steps and operations in a computational text analysis project, and demonstrate how each step can be performed using the R statistical software. As a popular open-source platform, R has an extensive user community that develops and maintains a wide range of text analysis packages. We show that these packages make it easy to perform advanced text analytics.
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Cites
Efficient Estimation of Word Representations in Vector Space
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Introduction to information retrieval
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Introduction to Information Retrieval
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Griffiths, T. L., & Steyvers, M. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0307752101 · Cited by 6,049
The Psychological Meaning of Words: LIWC and Computerized Text Analysis Methods
Tausczik, Y. R., & Pennebaker, J. W. (2010) · Journal of Language and Social Psychology · doi:10.1177/0261927x09351676 · Cited by 5,774
Flesch, R. (1948) · Journal of Applied Psychology · doi:10.1037/h0057532 · Cited by 5,391
Lexicon-based methods for sentiment analysis
Taboada, M., Brooke, J., Tofiloski, M., Voll, K., & Stede, M. (2011) · Computational Linguistics · doi:10.1162/coli_a_00049 · Cited by 3,301
Text as Data: The Promise and Pitfalls of Automatic Content Analysis Methods for Political Texts
Grimmer, J., & Stewart, B. M. (2013) · Political Analysis · doi:10.1093/pan/mps028 · Cited by 3,297 · cited 4×
“Although this drastically simplifies text content, research and many real-world applications show that word frequencies alone contain sufficient information for many types of analysis (Grimmer & Stewart, 2013).”
BackgroundMethodInfluentialtopicmodels : An R Package for Fitting Topic Models
Grün, B., & Hornik, K. (2011) · Journal of Statistical Software · doi:10.18637/jss.v040.i13 · Cited by 1,072
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Cited by
State of Industry 5.0—Analysis and Identification of Current Research Trends
Akundi, A., Euresti, D., Luna, S., Ankobiah, W., Lopes, A., & Edinbarough, I. (2022) · Applied System Innovation · doi:10.3390/asi5010027 · Cited by 482
A method for analyzing text using VOSviewer
Bukar, U. A., Sayeed, M. S., Razak, S. F. A., Yogarayan, S., Amodu, O. A., & Mahmood, R. A. R. (2023) · MethodsX · doi:10.1016/j.mex.2023.102339 · Cited by 459
van Atteveldt, W., van der Velden, M. A. C. G., & Boukes, M. (2021) · Communication Methods and Measures · doi:10.1080/19312458.2020.1869198 · Cited by 409
Self-citationBeukeboom, C. J., & Burgers, C. (2019) · Review of Communication Research · doi:10.12840/issn.2255-4165.017 · Cited by 126
Jordan, N. D. (2021) · The International Journal of Life Cycle Assessment · doi:10.1007/s11367-021-01873-6 · Cited by 11
Metadata
- Authors
- Welbers, K., Van Atteveldt, W., & Benoit, K.
- Venue
- Communication Methods and Measures
- Publisher
- Informa UK Limited
- Published
- 2017-10-02
- Volume
- 11
- Issue
- 4
- Pages
- 245-265
- ISSN
- 1931-2458 (ISSN-L)
- 1931-2466
- OpenAlex
- W2766022138
- Cited by
- 276
- References
- 11
- FWCI
- 123.65
- Type
- journal article
- Language
- en
- Open access
- green
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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.
