Multilingual twitter sentiment classification: the role of human annotators

HIGHLIGHTS

  • who: Igor Mozetič and colleagues from the Department of Knowledge Technologies, Jožef Stefan Institute, Ljubljana, Editor:, University of Maribor have published the research: Multilingual Twitter Sentiment Classification: The Role of Human Annotators, in the Journal: PLOS ONE | DOI:10.1371/journal.pone [0155036]. May 5, 2016 of February/25,/2016
  • what: The authors show that the model performance approaches the inter-annotator agreement when the size of the training set is sufficiently large. The authors show that there is strong evidence that humans perceive the classes (negative neutral and positive) as ordered. The authors . . .

     

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