431 citations · 1.1k across the 13 of their papers we have counts for
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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…
cs.CY2017★ 3 cited
Measuring Personalization of Web Search
Anikó Hannák, Piotr Sapieżyński, Arash Molavi Khaki +3
Web search is an integral part of our daily lives. Recently, there has been a trend of personalization in Web search, where different users receive different results for the same s…