Zero-shot emotion detection for semi-supervised sentiment analysis using sentence transformers and ensemble learning

HIGHLIGHTS

• who: Senait Gebremichael Tesfagergish and colleagues from the Department of Software Engineering, Kaunas University of Technology, Kaunas, Lithuania have published the article: Zero-Shot Emotion Detection for Semi-Supervised Sentiment Analysis Using Sentence Transformers and Ensemble Learning, in the Journal: (JOURNAL)
• what: The authors focus on automatic sentiment analysis as one of the popular NLP problems that have found many areas of applications by analyzing customers' product reviews, social media, survey unstructured responses, etc. In the experiments , the authors have used and evaluated these classifiers described below: Feed-forward neural_network (FFNN) is suitable for solving . . .
  

   

  

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