Corpus ID: 49221615

RuSentiment: An Enriched Sentiment Analysis Dataset for Social Media in Russian

@inproceedings{Rogers2018RuSentimentAE,
  title={RuSentiment: An Enriched Sentiment Analysis Dataset for Social Media in Russian},
  author={Anna Rogers and Alexey Romanov and Anna Rumshisky and Svitlana Volkova and Mikhail Gronas and A. Gribov},
  booktitle={COLING},
  year={2018}
}
This paper presents RuSentiment, a new dataset for sentiment analysis of social media posts in Russian, and a new set of comprehensive annotation guidelines that are extensible to other languages. [...] Key Method To diversify the dataset, 6,950 posts were pre-selected with an active learning-style strategy. We report baseline classification results, and we also release the best-performing word embeddings trained on 3.2B corpus of Russian social media posts.Expand
23 Citations
FinnSentiment - A Finnish Social Media Corpus for Sentiment Polarity Annotation
  • PDF
LANGUAGE MODEL EMBEDDINGS IMPROVE SENTIMENT ANALYSIS IN RUSSIAN
  • ИСПОЛЬЗОВАНИЕМ ВЕКТОРНЫХ, ПРЕДСТАВЛЕНИЙ ЯЗЫКОВЫХ МОДЕЛЕЙ
  • 2019
  • 1
  • Highly Influenced
  • PDF
Improving Results on Russian Sentiment Datasets
  • Highly Influenced
  • PDF
Sentiment Analysis of Posts and Comments in the Accounts of Russian Politicians on the Social Network
  • 8
  • Highly Influenced
  • PDF
A Sentiment Analysis Dataset for Code-Mixed Malayalam-English
  • 81
  • Highly Influenced
  • PDF
...
1
2
3
...

References

SHOWING 1-10 OF 38 REFERENCES
Creating a General Russian Sentiment Lexicon
  • 32
  • PDF
Enhanced Sentiment Learning Using Twitter Hashtags and Smileys
  • 721
  • PDF
SemEval-2017 Task 4: Sentiment Analysis in Twitter
  • 547
  • PDF
Debunking Sentiment Lexicons: A Case of Domain-Specific Sentiment Classification for Croatian
  • 2
  • PDF
Efficient Twitter sentiment classification using subjective distant supervision
  • 26
  • PDF
Sentiment in short strength detection informal text
  • 1,136
Sentence and Expression Level Annotation of Opinions in User-Generated Discourse
  • 93
  • PDF
...
1
2
3
4
...