dialogue-evaluation/RuSentNE-evaluation
Named Entity Oriented Sentiment Analysis Task for mass-media texts
This project helps media analysts, brand managers, and PR professionals understand public perception by identifying the sentiment towards specific entities mentioned in Russian news texts. You input news sentences with pre-identified entities like people, organizations, or countries, and it outputs whether the sentiment towards that entity is positive, negative, or neutral. This tool is for anyone needing to track image and public opinion trends in mass media.
No commits in the last 6 months.
Use this if you need to precisely gauge the emotional tone directed at specific individuals, companies, or groups within Russian news articles, rather than just the overall sentiment of the text.
Not ideal if your primary goal is to analyze the general sentiment of a news article without focusing on specific entities, or if your texts are not in Russian.
Stars
12
Forks
6
Language
Jupyter Notebook
License
MIT
Category
Last pushed
May 22, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/dialogue-evaluation/RuSentNE-evaluation"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
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