Machine Learning, NLP, Deep Learning, Sentiment Analysis, Word Embeddings.
(wiki-news-300d-1M): 300-dimensional vectors trained on the 16B token Wikipedia 2017 dump Evaluation I illustrate my findings in terms of (i) training loss, (ii) confusion matrix, (iii) precision (macro average), recall (macro average) and F1 score for different types of embeddings. Task 1: