An interactive online dictionary wants to add a widget that displays words used in similar contexts. A Machine Learning Specialist is asked to provide word features for the downstream nearest neighbor model powering the widget.
What should the Specialist do to meet these requirements?
A . Create one-hot word encoding vectors.
B . Produce a set of synonyms for every word using Amazon Mechanical Turk.
C . Create word embedding vectors that store edit distance with every other word.
D . Download word embeddings pre-trained on a large corpus.
Answer: A
Explanation:
Reference: https://aws.amazon.com/blogs/machine-learning/amazon-sagemaker-object2vec-adds-newfeatures-that-support-automatic-negative-sampling-and-speed-up-training/
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