OpenCTI-Platform
Extract Entity with NLP: step1
Use case
Details needs to be assessed, but the goal of the feature is to be able to use NLP to extract entities from unstrcutred content.
@Jipegien I think the best and easiest way for you to leverage NER (Named Entity Recognition) to extract entities and relations out of unstructured texts is to use AI integration (OpenAI or your custom trained Mistral model). I already use such an approach before ingestion. Before I used this approach I tried it with well-known python frameworks with medium good results. After moving to NER with an AI model (First tried OpenAI, then Mistral; stayed at mistral because OpenAI gets to expensive if you run this on random web scraped content) the results were pretty good. Hope it helps a little.
Yes we are considering this possibility, but in a context of multiple users, it comes rapidly with huge costs and latencies. Results are often not so consistent over time. Thanks :)
