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Authors
Gillian Kant (0000-0003-2346-2841), Christoph Weisser (0000-0003-0616-1027), Benjamin Säfken (0000-0003-4702-3333)
Citation
Kant et al., (2020). TTLocVis: A Twitter Topic Location Visualization Package. Journal of Open Source Software, 5(54), 2507, https://doi.org/10.21105/joss.02507
@article{Kant2020,
doi = {10.21105/joss.02507},
url = {https://doi.org/10.21105/joss.02507},
year = {2020},
publisher = {The Open Journal},
volume = {5},
number = {54},
pages = {2507},
author = {Gillian Kant and Christoph Weisser and Benjamin Säfken},
title = {TTLocVis: A Twitter Topic Location Visualization Package},
journal = {Journal of Open Source Software}
}
Tags
Twitter Topic Modelling LDA Latent Dirichlet Allocation Visualization Spatial Modelling Geocoded Text Hashtag-Pooling Algorithm Natural Language Processing Machine Learning
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This work is licensed under a Creative Commons Attribution 4.0 International License.
