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Found 4 papers, 4 papers with code
Large Language Models in Targeted Sentiment Analysis
Reasoning capabilities of the fine-tuned Flan-T5 models with THoR achieve at least 5% increment with the base-size model compared to the results of the zero-shot experiment.
RuSentNE-2023: Evaluating Entity-Oriented Sentiment Analysis on Russian News Texts
The paper describes the RuSentNE-2023 evaluation devoted to targeted sentiment analysis in Russian news texts.
Transfer Learning for Improving Results on Russian Sentiment Datasets
In this study, we test transfer learning approach on Russian sentiment benchmark datasets using additional train sample created with distant supervision technique.
Improving Results on Russian Sentiment Datasets
In this study, we test standard neural network architectures (CNN, LSTM, BiLSTM) and recently appeared BERT architectures on previous Russian sentiment evaluation datasets.
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