Machine Learning, NLP, Deep Learning.
Distributed CPUs and GPUs, parallel training via iterative reduce, and micro-service architecture adaptation are its main features [3]. Vector space modeling enables the tool to solve text-mining problems. Parts of speech (PoS) tagging, dependency parsing, and word2vec for creating word embedding