Russian Financial News

Russian Financial News

Datasets

Russian Financial News

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Russian Financial News

Use Case

Russian Financial News

Description

Explore the Russian Financial News Dataset with 91,955 articles and metadata. Perfect for sentiment analysis, text summarization, keyword extraction, and financial AI research.

Description:

A collection of 91,955 Russian financial news articles with metadata for NLP tasks like sentiment analysis, text summarization, and keyword extraction. Ideal for financial analytics and AI research.

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The Russian Financial News Dataset offers a rich collection of 91,955 financial news articles in Russian, sourced from leading platforms like Finam, RBC, BCS Express, RDV, T-Invest, and SmartLab.ru. This dataset is tailored for Natural Language Processing (NLP) tasks, providing valuable insights into the Russian stock market and economy.

Key Features:

  • Extensive Dataset: Contains 91,955 articles with metadata for advanced financial analysis.
  • Rich Metadata: Includes publication date, time, tags (keywords or tickers), and sources, enabling time-series forecasting and algorithmic trading applications.
  • Domain-Specific Text: Focused on Russian financial and economic news, ideal for domain adaptation in financial NLP models.
  • Supported Tasks:
    • Sentiment Analysis: Assess the sentiment of financial news articles.
    • Text Summarization: Generate concise summaries for quick insights.
    • Keyword Extraction: Identify relevant financial terms and tickers.
    • Domain Adaptation: Train specialized models for financial text applications.

Dataset Structure:

  • title: News article title.
  • body: Full text of the article.
  • date: Publication date (YYYY-MM-DD).
  • time: Publication time (HH:MM).
  • tags: Relevant keywords or tickers.
  • source: News source (e.g., RDV, BCS, Finam, RBC, T-Invest).

Applications:

  • Financial Sentiment Analysis: Monitor market sentiment based on news trends.
  • Trading Strategies: Leverage metadata for algorithmic trading models.
  • NLP and AI Research: Build predictive tools for financial data analysis.
  • Market Insights: Understand trends in the Russian economy and stock market.

Data Sources:

The dataset aggregates financial news from reputable platforms and Telegram channels:

  • RDV – Telegram channel.
  • BCS Express – BCS website.
  • Finam – Finam financial news website.
  • RBC – Federal media outlet.
  • T-Invest – Telegram channel by T-Bank.
  • SmartLab.ru – Community site for Russian traders.

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