Hey everybody, I haven't really looked into AI at all until now, so I'm quite lost on this. Appreciate any kind of help or pointers in the right direction.
An important note is that all this needs to be done with texts written in German.
The scenario for which I need AI:
- Attendees of a course write each their own text, describing a "perfect" day in the future. These attendees all share the same background, most likely the same employer. That means that all texts will most likely have some common themes, e.g. structure of a work day, the way meetings run etc. But they would also have differences, unique little descriptions, maybe of a coffee break shared with a colleague.
What I need the AI to do:
- The number of texts can change drastically. With 3 texts it's kind of doable to merge them manually. With 10+ texts or even 50+ it can obviously become quite hard to do this by hand. The AI would need to merge these texts by merging common themes into one occurence in the final text and also adding unique wordings/descriptions.
- If merging is not really feasible to be done by AI at the moment, clustering the contents of the texts would be really helpful as well. With clustering I'm thinking about bullet points that extract quotes from each text clustered for certain topics, e.g. meetings, coffee break talk etc. This way unique wordings could be preserved.
- If none of the above is feasible, what AI would be most useful to summarize texts while still keeping some of the unique wordings?
I hope you can understand what I'm looking for. If anything is unclear please ask away. Thanks for any help!
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