NewsMiner: AI that reads, understands, and summarizes news

NewsMiner is an intelligent system for the automatic detection, collection, and processing of news content from various digital sources.
It helps identify new information quickly, analyze it automatically, and present it in a clear and understandable form — without the need for manual research.

How it works

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NewsMiner continuously monitors various sources across the internet — such as RSS feeds, websites (HTML), sitemaps, or email messages.
Through a modular system, different source types can be integrated.
As soon as a new article is detected or an existing one is updated, it is automatically retrieved and processed.

All incoming articles are stored in a database to keep track of changes, publication times, and sources.
Each article is then reviewed by a human and can be marked as “published” once verified.

Intelligent content analysis

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After being retrieved, each article is automatically analyzed by artificial intelligence.
The system generates several key elements:

• Title: A concise headline that captures the essence of the article.
• Description: A brief introduction to the topic.
• Summary: A compact overview highlighting the most important points.
• Preview (teaser): A short excerpt suitable for social media or newsletters.
• Language detection: The article’s language is automatically identified and translated if necessary.

This process produces a fully processed and structured dataset for every article — consistent, clear, and immediately ready for further use.

Flexible architecture

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The system is built on a modular design.
Different reader modules handle data ingestion (e.g., RSS, HTML, sitemap, or mail).
New readers or analysis functions can be added at any time — for example, for specific formats, internal feeds, or industry sources.

The detection of duplicates and updated articles is also part of the system:
NewsMiner automatically recognizes when an article has been revised and updates the existing record instead of saving it twice.

Quality and control

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To ensure the reliability of its data, NewsMiner only accepts validated and verified sources that are clearly associated with their respective companies or organizations.
This prevents unauthorized or incorrect content from being imported.
In addition, every article is reviewed by a human editor before being marked as “published,” ensuring consistent quality and trustworthiness.

Export and usage

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Processed articles can be exported in various formats — for example:

• JSON for use in other systems or APIs
• HTML for web portals, newsletters, or publications
• Additional formats can easily be added through the modular system.

This allows NewsMiner to integrate seamlessly into existing workflows and publishing processes.

Purpose and benefits

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NewsMiner combines traditional news tracking with modern AI technology.
It reduces the effort required to find, verify, and prepare information — allowing editorial teams, communication departments, and analysts to focus on what really matters: the content itself.