Side Project

Utility of General and Specific Word Embeddings for Classifying Translational Stages of Research

Conventional text classification models make a bag-of-words assumption reducing text, fundamentally a sequence of words, into word occurrence counts per document. Recent algorithms such as word2vec and fastText are capable of learning semantic …