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Update reference paper

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@@ -161,3 +161,16 @@ features_mean = np.mean(features[0], axis=0)
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  # features_mean = np.mean(features[0], axis=0)
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  # #features_max = np.max(features[0], axis=0)
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  ```
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  # features_mean = np.mean(features[0], axis=0)
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  # #features_max = np.max(features[0], axis=0)
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  ```
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+ ### BibTeX entry and citation info
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+ Please cite the [reference paper](https://arxiv.org/abs/2308.02142) if you use this model.
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+ ```bibtex
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+ @article{loureiro2023tweet,
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+ title={Tweet Insights: A Visualization Platform to Extract Temporal Insights from Twitter},
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+ author={Loureiro, Daniel and Rezaee, Kiamehr and Riahi, Talayeh and Barbieri, Francesco and Neves, Leonardo and Anke, Luis Espinosa and Camacho-Collados, Jose},
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+ journal={arXiv preprint arXiv:2308.02142},
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+ year={2023}
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+ }
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+ ```