Tag Archives: Word Vectorization

Word embeddings created by Word2Vec can be utilized in exploring the semantic distributions of nouns associated with nominal classifiers. In this post, we explore using dendrogram analysis and k-means clustering with word embeddings as a means to form hypotheses for research involving these distributions. Nominal classifiers are known to have a range of semantic valuesContinue reading “Using Word Embeddings for Semantic Analysis of Nominal Classifiers”