sismetanin/sentiment-analysis-of-tweets-in-russian

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

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This project helps you understand the overall sentiment in Russian-language tweets. You feed in raw Russian tweets, and it tells you whether each tweet expresses a positive or negative sentiment. This is useful for market researchers, brand managers, or social media analysts monitoring public opinion or brand perception in Russian.

No commits in the last 6 months.

Use this if you need to quickly determine the sentiment of a large collection of Russian tweets.

Not ideal if you need to analyze sentiment in languages other than Russian, or if you require nuanced sentiment (e.g., neutral, mixed) beyond simple positive/negative.

social-media-monitoring market-research public-opinion brand-reputation Russian-language-analysis
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 8 / 25
Maturity 16 / 25
Community 20 / 25

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32

Language

Jupyter Notebook

License

MIT

Last pushed

Feb 27, 2021

Commits (30d)

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curl "https://pt-edge.onrender.com/api/v1/quality/embeddings/sismetanin/sentiment-analysis-of-tweets-in-russian"

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