We opt to use offline alignment to show that such a low-cost approach does, in fact, capture a significant part of the relationship between words of different languages when it comes to sentiment.
this would serve to demonstrate the (expected) limits of the linear transformation model's in handling polysemy and subsequently its impact on the topological mapping of sentiment in vector space.