News sentiment API
The News Sentiment API Actor is designed to automatically analyze and score the emotional tone of various media content, including news articles and press releases. By utilizing advanced natural language processing algorithms, this Actor provides real-time sentiment insights, offering sentiment scores that range from highly negative to highly positive, along with confidence levels and keyword extraction.
Key features
- Multi-source news aggregation: Collects data from major publications and RSS feeds.
- Real-time sentiment analysis: Provides detailed emotion breakdowns beyond basic positive/negative classifications.
- Customizable filtering: Allows filtering by topics, keywords, or specific news sources.
- Comprehensive API endpoints: Delivers structured JSON responses with sentiment scores, article metadata, and trending sentiment patterns over time.
Target audience
This Actor is ideal for financial analysts and investment firms monitoring market sentiment, marketing professionals tracking brand perception and campaign effectiveness, journalists and media researchers studying public opinion trends, and business intelligence teams requiring automated news monitoring for strategic decision-making.
Benefits
- Saves hours of manual news monitoring and analysis.
- Provides competitive intelligence through automated sentiment tracking of industry news.
- Facilitates data-driven decisions based on quantified public sentiment.
- Offers access to historical sentiment data to identify patterns and predict potential market or reputation shifts before they impact business operations.
