Media and other industries save with Geneea′s AI text processing
Partner with Geneea to eliminate hours of repetitive work, enhance service quality and speed, save resources, and boost revenues. With over 10 years of experience in AI and NLP, we’ll help you serve your customers better.
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Geneea’s solutions for media employ artificial intelligence and natural language processing to automate repetitive and time-consuming tasks.
When a journalist writes an article, we suggest the photos, keyword tags, related articles, and side boxes. Actually, with enough data, we can also automatically write the article text.
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Analyze feedback from your customers, whether it is public comments on sites like Yelp, TripAdvisor, and Facebook, or ones you collect from them.
Get a better understanding of NPS scores through a detailed analysis of the accompanying comments.
We can link comments to specific products and services, extracting the attributes and sentiment they are connected with.
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Is the problem you′re facing so complex that it requires a custom workflow for your business? This is where our years of experience in AI come in.
By using a variety of approaches, from traditional NLP to the latest LLM technologies, we can design and implement the right solution for even the most complex language data challenges.
Categorize millions of emails, summarize articles, generate pages, validate information, and more with great precision and within seconds. Let us show you how we can make your work even more effective.
Geneea was excited to attend the Media Innovation Week hosted by the International News Media Association (INMA) in Helsinki at the end of September. The event brought together industry leaders and innovators to explore the latest trends in content creation, content analytics, and the use of generative AI in journalism. We had a fantastic time...
At the end of May 2024, we attended the World News Media Congress in Copenhagen, which had been organized by WAN-IFRA. The main topic of the conference was generative AI and large language models. The discussions focused on the application of AI for editorial work and the use of media house content by technology companies...
The eleventh edition of our newsletter on Large Language Models is here. In this edition, we explore • Stanford's AI Index Report, • a mix of releases, • AI in journalism, and • tips for improving model answers.
