Smart systems, data analysis and software technology
Within the last weeks, I thought about building a service for automatically answering incoming user questions by using a repository of previously answered questions. The benefit of such an automatic answering system is obvious, but as a foundation for that implementation, a trained text association model is needed. A large corpus of existing texts therefore […]
Word embeddings within machine learning and artificial intelligence models are used to analyse the semantic similarity of words within texts and therefore to gain deeper knowledge during sentient text analysis and classification. Word embeddings represent pre-trained databases of a given vocabulary where each word comes with a unique numeric vector that represents its position within […]