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README.md
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To increase the training sample, data from the Sentiment Analysis in Russian dataset was used:
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https://www.kaggle.com/c/sentiment-analysis-in-russian/overview
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## Evaluation
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### Testing Data, Factors & Metrics
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To increase the training sample, data from the Sentiment Analysis in Russian dataset was used:
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https://www.kaggle.com/c/sentiment-analysis-in-russian/overview
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Additionally, to expand the dataset with entity-level sentiment annotations, an automatic annotation algorithm was used:
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https://github.com/RyuminV01/markup-tsa-news/tree/main
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This algorithm enabled the generation of additional labeled data based on named entity recognition and sentiment alignment in Russian news texts.
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## Evaluation
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### Testing Data, Factors & Metrics
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