Automated Writing of Football Match Reports ⚽️
Discover how news.de uses a text robot to automate the creation of match reports for more than 24 matches a day for the 1. - 3. Bundesliga in Germany.
News.de has the goal of publishing fast and high-quality football match reports of the 1st to the 3rd German Bundesliga and to soon expand into leagues. With the football match reports, the online news magazine has opened up a whole new area that did not exist in their editorial department before.
Currently, about 24 reports per match day are written and published automatically. In addition, there are about 70 automated articles daily on the current TV program and automated weather reports such as the bio and pollen weather.
In 2019, news.de has already reached a significant milestone: On a Sunday, traditionally the weekday with the highest traffic, for the first time the most-read article of the day came from the pen of the text robot and was not written by a human.
The data-handling infrastructure is provided by DataCater and makes sure to have enough structured data by extracting football data from various API's. The natural language software from AX Semantics uses the data to automatically create optimized texts.
The instantly created results are being sent through the DataCater pipelines to the news.de content management system and automatically published.
This way thousands of articles can be:
- Instantly written and published, even before the competition has found time to write.
- Keyword-optimized to ensure a high search engine ranking
This allows for easy and fast expansion into hyper-localized, hyper-personalized and expanded sports reporting.
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Xanevo is changing the way text and content is created. Xanevo is a full-service provider and automates the writing of high-quality texts, product descriptions, and reports using Natural Language Generation (NLG). Scale your online business with smarter automated content.
