sentiment-analysis-in-russian
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sismetanin
Fine-tuned Multilingual BERT and Multilingual USE for sentiment analysis in Russian. RuReviews, RuSentiment, Kaggle Russian News Dataset, LINIS Crowd, and RuTweetCorp were utilized as training data.
Hello, In the config file in the hugging face [repo](https://huggingface.co/sismetanin/rubert-ru-sentiment-rusentiment/blob/main/config.json), the labels are introduced as label_0 to label_4. What is order for the labels “Neutral”, “Negative”, “Positive”, “Speech Act”, and...
Say I want to use any of the RuSentiment models from this link: https://disk.yandex.ru/d/Xp5vLG_5xCQL-Q/RuSentiment - What type of data transformation (for prediction) is necessary? - Which model class should I...
``` import tensorflow as tf import tensorflow_text from tensorflow_text import SentencepieceTokenizer saved_model_path = '../M-USE-CNN-FiT-RuSentiment' model = tf.saved_model.load(saved_model_path) ``` NotFoundError: Op type not registered 'SentencepieceEncodeSparse' in binary running on alboyarskiy. Make...
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Fine-tuned Multilingual BERT and Multilingual USE for sentiment analysis in Russian. RuReviews, RuSentiment, Kaggle Russian News Dataset, LINIS Crowd, and RuTweetCorp were utilized as training data.