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Analysis of Public Opinion Sentiments with News API
Benefits
Analysis of Public Opinion Sentiments with News API Features
Public opinion sentiment analysis uses AI and natural language processing to measure how people feel about specific topics, policies, brands, or events based on news coverage. It quantifies positive, negative, and neutral sentiment across thousands of sources to reveal public perception trends.
Learn more about API Use cases
Discover the possibilities
Our solutions are designed to help you achieve your goals. Whether you are a small business or a large corporation, we have the right solution for you.
PollingSentiment as a polling proxy
Use aggregated news sentiment as a lower-cost, higher-frequency proxy for traditional polling on issues and personalities.
BrandBrand-perception time series
Plot brand sentiment over months to detect shifts triggered by campaigns, controversies, or competitor actions.
PolicyIssue-salience tracking
Measure how often and how positively or negatively specific policy issues appear across mainstream and partisan press.
MarketProduct-launch reception
Score the first 30 days of news after a product launch by sentiment, by geography, and by publisher tier.
RiskReputational drift alerts
Trigger an alert when sentiment polarity for an entity moves more than 2 standard deviations from a 30-day baseline.
AcademicEvent-study research
Build event-study datasets pairing dated news sentiment with market or behavior data for quantitative analysis.
Features
Don’t waste time on complex features
Complex features made simple. Our API provides a simple way to access news articles from around the world. We provide a simple, consistent, and easy-to-use API to access news articles from thousands of sources.
News API
- Export data in many formats
- Industry Monitoring
- Brand Monitoring
- Market Intelligence
- Risk Management
- Competitive Intelligence
- Media Monitoring
- Sentiment Analysis
- Trend Analysis
- Story Grouping
- Forecasting social trends
- Multi-language Support
- Audience Engagement
- Geographical Analysis
- Real-time Breaking News
- Historical Data Access
- Custom News Feeds
- News Aggregation
- Content Filtering
- Over 50 integrations
Extract Additional Data
- Industries
- Locations
- Persons
- Organizations
- Brands
- Events
- Disasters
- Diseases
- Links
- Media
- Images & Videos
- Hashtags
- Authors
- Source
- Duplicate Detection
- Publisher Rank
- Article Sentiment
- Readability Score
- Language Detection
Analysis
- Sentiment Analysis
- Analysis of public opinion
- Categorization
- Financial Analysis
- Trend Analysis
- Story Grouping
- Content Summarization
- Entity Recognition
- Keyword Extraction
- Topic Modeling
- Event Detection
- Named Entity Recognition
- Text Classification
- Controversy Detection
- Trust Score Analysis
- Engagement Metrics
- Source Bias Detection
- Quality Ranking
- Spam Detection
- Emotion Detection
Advanced Searching
- Search by Location
- Search by Date Range
- Search by Source
- Search by Category
- Search by Industry
- Search by Sentiment
- Search by Story
- Search by Publisher Rank
- Search by Language
- Search by Entity
- Search by Keywords
- Boolean Search
- Proximity Search
- Faceted Search
- Range Queries
- Search by Author
- Search by Media Type
- Search by Breaking News
- Search by Read Time
Interactive Demo
Pick a scenario and see real API responses — filtered, structured, and ready to use. No credentials needed.
News API Scenarios
Ready to build with News API?
Discover recipes and code examples for common news data workflows.
API Response
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APITube is trusted by teams around the world to help them build and deliver amazing digital experiences faster than ever before.
- Last updated
- 8s ago
- Total sources
- 512.645k
- Requests yesterday
- 28.572
- Articles added yesterday
- 127.559k
- Total articles
- 3.82b
Frequently asked questions
- Public opinion sentiment analysis uses AI and natural language processing to measure how people feel about specific topics, policies, brands, or events based on news coverage. It quantifies positive, negative, and neutral sentiment across thousands of sources to reveal public perception trends.
- Businesses leverage public opinion analysis for market research, product launches, policy advocacy, crisis management, and strategic planning. Understanding how the public perceives your industry, products, or initiatives helps shape messaging, timing, and resource allocation for maximum impact.
- You can analyze virtually any topic including political issues, social causes, technology trends, healthcare policies, environmental concerns, economic conditions, and cultural movements. Our API covers news from 60+ languages across global, national, and local sources.
- Our NLP models are trained on domain-specific datasets covering politics, business, technology, healthcare, and more. This specialized training ensures accurate sentiment detection even for nuanced topics where context matters, achieving 85%+ accuracy across most categories.
- Yes, our API provides historical data and time-series analysis capabilities. You can visualize sentiment trends over days, weeks, months, or years to understand how public opinion evolves in response to events, campaigns, or policy changes.
- We include source bias indicators and publisher authority rankings for each article. You can filter by political leaning, focus on neutral sources, or analyze the full spectrum to understand how different audiences perceive topics.
- Absolutely. Our geographic filtering allows you to compare sentiment by country, region, or language. This is valuable for multinational companies, political organizations, and researchers studying regional variations in public perception.
- Export data in JSON for API integration, CSV/Excel for analysis tools, or use our time-series endpoints for visualization platforms. We support real-time webhooks for dashboard updates and scheduled reports for regular monitoring.
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sentiment sentiment Analysis API Public Opinion.
APITube offers sentimentality analysis of news content on 500,000 plus news sources. Monitor the media representation of topics, companies, and other public figures. Each of the articles suggests sentimental scores, positive, negative, or neutral.
Our sentiment analysis allows us to track the discussion of the masses quantitatively with time. Track changes in sentiments with regard to the events, change of policy, or campaigns. Compare pattern of coverages in these regions, languages, and types of publications.
To researchers and analysts, historic sentiment data is over a span of 10 years. Construct time series of social attitudes of any subject. Export data in a form that can be statistically analyzed in the python, R, or other systems.
REST API having detailed documentation. Python, JavaScript and other languages SDKs. Integration normally takes less than an hour.
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