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Word vector is a model of multi-dimensional vector representation of words. Similarity in the vector values often accompanies a semantic relation between words. But exploring the vector space further, we can find more interesting and surprising relations. I will shed some light on the mathematical meaning of the word vectors using an interactive visualization. Word2vec is a model of multi dimensional vector representation of words. Exploring the relations in vector space one can find that it surprisingly well preserves semantic analogies between words. In the talk I will use my interactive visualization with pre trained vectors from GloVe to illustrate the examples and relations