Pentum_Graph is a research project by PentumLab GmbH designed for the structured visualization and analysis of news from diverse international sources. Content from various media outlets and news agencies is aggregated and displayed in an interactive graph based on thematic connections.
News items in various languages are automatically translated into the user's language. This allows a German-speaking user, for example, to read international news in German, even if the original report was published in English, French, or another language.
In addition to the graph view, the project provides an overview of the relevant sources and a chronological timeline of the collected reports. Keywords and other links reveal connections between topics, people, locations, and events.
The project aims to make news from different countries, languages, and sources accessible and comparable, while also analyzing thematic relationships within the reporting.
Publicly available content from reputable news sources on YouTube serves as the reference data.
Pentum_Graph is a research project by PentumLab GmbH designed for the structured visualization and analysis of news from diverse international sources. Content from various media outlets and news agencies is aggregated and displayed in an interactive graph based on thematic connections.
News items in various languages are automatically translated into the user's language. This allows a German-speaking user, for example, to read international news in German, even if the original report was published in English, French, or another language.
In addition to the graph view, the project provides an overview of the relevant sources and a chronological timeline of the collected reports. Keywords and other links reveal connections between topics, people, locations, and events.
The project aims to make news from different countries, languages, and sources accessible and comparable, while also analyzing thematic relationships within the reporting.
Publicly available content from reputable news sources on YouTube serves as the reference data.