Obligatory assignment 1 is now online

The first obligatory assignment is now online, on the Git repository. Your task is to build a neural predictor of emotional valence of English texts. This is a regression problem which you will solve using bags-of-words and word embeddings as features.

The assignment is due February 27, but feel free to start working on it. We have already covered linear models, feed-forward neural networks, basics of PyTorch and word embeddings in the lectures. We will also provide extensive practice in building neural classifiers with PyTorch and word embeddings at the next group sessions.

Note that we will evaluate your submitted models on a held-out test set. After grading is done, we will publish a leaderboard of the best 3 teams in terms of their models' performance. These 3 teams' members will get one extra point to their grades (unless they are already at the maximum of 6 points for this assignment).

Good luck!