by smartlake | Mar 22, 2020 | Artificial Intelligence, Blog, Machine Learning, NLP, text mining
Introduction In the previous 6 articles we have illustrated the usage of Google and AWS NLP APIs. We have also experimented the spacy library to extract entities and nouns from different documents. We have shown how to improve the model using pattern matching function...
by smartlake | Dec 27, 2019 | Artificial Intelligence, Blog, Machine Learning, NLP, text mining
Introduction In the previous 5 articles we have illustrated the usage of Google and AWS NLP APIs. We have also experimented the spacy library to extract entities and nouns from different documents. We have shown how to improve the model using pattern matching function...
by smartlake | Sep 16, 2019 | banking, Blog, chatbot, Machine Learning, NLP, wealth management
Improving the Banking Onboarding Assistant In a previous article, https://smartlake.ch/on-boarding-virtual-assistant-myths-and-reality/, we have demonstrated how to use a banking virtual assistant to assist client on boarding. Today we want to go a step further and...
by smartlake | Sep 1, 2019 | Artificial Intelligence, banking, Blog, chatbot, NLP
There is quite a number of myths and legends about virtual assistants. When reading the news and articles, it seems artificial intelligence can learn about everything and then reproduce anything it has learned. This is somewhat true. If it is not trained with business...
by smartlake | May 26, 2019 | Artificial Intelligence, Blog, Machine Learning, NLP, text mining
Introduction In the previous 4 articles we have illustrated the usage of Google and AWS NLP APIs. We have also experimented the spacy library to extract entities and nouns from different documents. We have shown how to improve the modle using pattern matching function...
by smartlake | May 1, 2019 | Artificial Intelligence, Blog, Machine Learning, NLP, text mining
Introduction In the previous 3 articles we have illustrated the usage of Google and AWS NLP APIs and experimented the spacy library to extract entities and nouns from different documents. We have chosen to use personal profiles and job description, as this is a common...
