While such a visual representation certainly offers a good overview, the dimensional reduction comes at the cost of information loss, leading to distortions in the displayed distances of vectors in the low dimensional space.
there is a risk of misinterpreting semantic relatedness of feature vectors, especially if specific word vectors are compared (Chuang et al., 2012).