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  1. Sentiment analysis of tweets in Russian using Convolutional Neural Networks (CNN) with Word2Vec embeddings.

    Jupyter Notebook 50 32

  2. Google News and Leo Tolstoy: Visualizing Word2Vec Word Embeddings using t-SNE.

    Jupyter Notebook 62 29

  3. Google Assistant app, built using Dialogflow (configured for Russian) and Cloud Functions for Firebase (Node.js), to find the best GIFs.

    JavaScript 9 3

  4. Deep-learning system presented in "EmoSence at SemEval-2019 Task 3: Bidirectional LSTM Network for Contextual Emotion Detection in Textual Conversations" at SemEval-2019.

    Jupyter Notebook 23 12

  5. rureviews Public

    An automatically annotated sentiment analysis dataset of product reviews in Russian.

    13 3

  6. 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.

    25 5

26 contributions in the last year

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Contribution activity

December 2022

sismetanin has no activity yet for this period.