Sentiment Analysis of Twitter Data (saotd)

R Submitted 17 April 2018Published 27 February 2019
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Editor: @arfon (all papers)
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Authors

Evan L. Munson (0000-0002-9958-6800), Christopher M. Smith (0000-0002-8288-270X), Bradley C. Boehmke (0000-0002-3611-8516), Jason K. Freels (0000-0002-2415-0340)

Citation

Munson et al., (2019). Sentiment Analysis of Twitter Data (saotd). Journal of Open Source Software, 4(34), 764, https://doi.org/10.21105/joss.00764

@article{Munson2019, doi = {10.21105/joss.00764}, url = {https://doi.org/10.21105/joss.00764}, year = {2019}, publisher = {The Open Journal}, volume = {4}, number = {34}, pages = {764}, author = {Evan L. Munson and Christopher M. Smith and Bradley C. Boehmke and Jason K. Freels}, title = {Sentiment Analysis of Twitter Data (saotd)}, journal = {Journal of Open Source Software} }
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text mining sentiment analysis natural language processing latent dirichlet allocation twitter sentiment analysis

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ISSN 2475-9066