27 citations · 128 across the 13 of their papers we have counts for
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cs.CL2023★ 1 cited
SuperTweetEval: A Challenging, Unified and Heterogeneous Benchmark for Social Media NLP Research
Dimosthenis Antypas, Asahi Ushio, Francesco Barbieri +5
Despite its relevance, the maturity of NLP for social media pales in comparison with general-purpose models, metrics and benchmarks. This fragmented landscape makes it hard for the…
cs.CL2023★ 3 cited
Tweet Insights: A Visualization Platform to Extract Temporal Insights from Twitter
Daniel Loureiro, Kiamehr Rezaee, Talayeh Riahi +4
This paper introduces a large collection of time series data derived from Twitter, postprocessed using word embedding techniques, as well as specialized fine-tuned language models.…