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i think that for fin companies it would be very helpful to have an algorithm to analyse sentiment on various topic in articles, tweets, linktin, FB, etc. It could be helpful e.g. to understand what market think about some reg developments, projects and hot topics. Most importantly that fin companies normally deal with very spacial types of text, which are industry specific hence VADER algorithm broadly used for tweets does not really perform great on fin data. I would suggest to add FinBERT model (and BERT model as such) which are top of the pops in AI (BERT is used in goolge search engine). The pre-trained models are freely accessible. it would be very helpful if the range of model would be extended to FinBERT, for banks, FS teams, asset managers, BERT for general use, MedBERT for pharma.