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<full_title>Journal of Open Source Software</full_title> | ||
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<issn media_type="electronic">2475-9066</issn> | ||
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<title>SIRITVIS: Social Interaction Research Insights Topic | ||
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<article_title>LDAvis: A method for visualizing and | ||
interpreting topics</article_title> | ||
<author>Sievert</author> | ||
<journal_title>Proceedings of the Workshop on Interactive | ||
Language Learning, Visualization, and Interfaces</journal_title> | ||
<doi>10.3115/v1/W14-3110</doi> | ||
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(2014). LDAvis: A method for visualizing and interpreting topics. In J. | ||
Chuang, S. Green, M. Hearst, J. Heer, & P. Koehn (Eds.), Proceedings | ||
of the Workshop on Interactive Language Learning, Visualization, and | ||
Interfaces (pp. 63–70). Association for Computational Linguistics. | ||
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<journal_title>Proceedings of the 16th Conference of the | ||
European Chapter of the Association for Computational Linguistics: | ||
System Demonstrations</journal_title> | ||
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<cYear>2021</cYear> | ||
<unstructured_citation>Terragni, S., Fersini, E., Galuzzi, | ||
B. G., Tropeano, P., & Candelieri, A. (2021). OCTIS: Comparing and | ||
optimizing topic models is simple! In D. Gkatzia & D. Seddah (Eds.), | ||
Proceedings of the 16th Conference of the European Chapter of the | ||
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https://doi.org/10.18653/v1/2021.eacl-demos.31</unstructured_citation> | ||
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<article_title>Cross-lingual contextualized topic models | ||
with zero-shot learning</article_title> | ||
<author>Bianchi</author> | ||
<journal_title>Proceedings of the 16th conference of the | ||
european chapter of the association for computational linguistics: Main | ||
volume</journal_title> | ||
<doi>10.18653/v1/2021.eacl-main.143</doi> | ||
<cYear>2021</cYear> | ||
<unstructured_citation>Bianchi, F., Terragni, S., Hovy, D., | ||
Nozza, D., & Fersini, E. (2021). Cross-lingual contextualized topic | ||
models with zero-shot learning. Proceedings of the 16th Conference of | ||
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<article_title>Autoencoding variational inference for topic | ||
models</article_title> | ||
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<unstructured_citation>Srivastava, A., & Sutton, C. | ||
(2017). Autoencoding variational inference for topic models. | ||
https://arxiv.org/abs/1703.01488</unstructured_citation> | ||
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<article_title>Tweetviz: Twitter data | ||
visualization</article_title> | ||
<author>Stojanovski</author> | ||
<journal_title>Proceedings of the data mining and data | ||
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<cYear>2014</cYear> | ||
<unstructured_citation>Stojanovski, D., Dimitrovski, I., | ||
& Madjarov, G. (2014). Tweetviz: Twitter data visualization. | ||
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<article_title>TTLocVis: A twitter topic location | ||
visualization package</article_title> | ||
<author>Kant</author> | ||
<journal_title>Journal of Open Source | ||
Software</journal_title> | ||
<issue>54</issue> | ||
<volume>5</volume> | ||
<doi>10.21105/joss.02507</doi> | ||
<cYear>2020</cYear> | ||
<unstructured_citation>Kant, G., Weisser, C., & Säfken, | ||
B. (2020). TTLocVis: A twitter topic location visualization package. | ||
Journal of Open Source Software, 5(54), 2507. | ||
https://doi.org/10.21105/joss.02507</unstructured_citation> | ||
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<citation key="blei2003latent"> | ||
<article_title>Latent dirichlet allocation</article_title> | ||
<author>Blei</author> | ||
<journal_title>Journal of Machine Learning | ||
Research</journal_title> | ||
<volume>3</volume> | ||
<cYear>2003</cYear> | ||
<unstructured_citation>Blei, D. M., Ng, A. Y., & Jordan, | ||
M. I. (2003). Latent dirichlet allocation. Journal of Machine Learning | ||
Research, 3, 993–1022.</unstructured_citation> | ||
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<citation key="Mueller_Wordcloud_2023"> | ||
<article_title>Wordcloud</article_title> | ||
<author>Mueller</author> | ||
<cYear>2023</cYear> | ||
<unstructured_citation>Mueller, A. C. (2023). Wordcloud | ||
(Version 1.9.1). | ||
https://github.com/amueller/wordcloud</unstructured_citation> | ||
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<article_title>Twitmo: A twitter data topic modeling and | ||
visualization package for r</article_title> | ||
<author>Buchmüller</author> | ||
<journal_title>arXiv preprint | ||
arXiv:2207.11236</journal_title> | ||
<cYear>2022</cYear> | ||
<unstructured_citation>Buchmüller, A., Kant, G., Weisser, | ||
C., Säfken, B., Kis-Katos, K., & Kneib, T. (2022). Twitmo: A twitter | ||
data topic modeling and visualization package for r. arXiv Preprint | ||
arXiv:2207.11236.</unstructured_citation> | ||
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<article_title>VADER: A parsimonious rule-based model for | ||
sentiment analysis of social media text</article_title> | ||
<author>Hutto</author> | ||
<journal_title>Proceedings of the International AAAI | ||
Conference on Web and Social Media</journal_title> | ||
<issue>1</issue> | ||
<volume>8</volume> | ||
<doi>10.1609/icwsm.v8i1.14550</doi> | ||
<cYear>2014</cYear> | ||
<unstructured_citation>Hutto, C., & Gilbert, E. (2014). | ||
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media text. Proceedings of the International AAAI Conference on Web and | ||
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