2k citations · 5.5k across the 53 of their papers we have counts for
Showing stat.MLShow all
2 papers · 1 filter
stat.ML2023★ 89 cited
Using Sequences of Life-events to Predict Human Lives
Germans Savcisens, Tina Eliassi-Rad, Lars Kai Hansen +5
Over the past decade, machine learning has revolutionized computers' ability to analyze text through flexible computational models. Due to their structural similarity to written la…
stat.ML2017★ 431 cited
Using millions of emoji occurrences to learn any-domain representations for detecting sentiment, emotion and sarcasm
Bjarke Felbo, Alan Mislove, Anders Søgaard +2
NLP tasks are often limited by scarcity of manually annotated data. In social media sentiment analysis and related tasks, researchers have therefore used binarized emoticons and sp…