- Negative examples are also needed to train a binary classifier.
- Skip-gram with negative sampling (SGNS) needs more negative samples for training.
- A parameter 'k' is used to keep the ratio of positive and negative samples.

San Jose State University

- The figure below shows an example of training data, apricot being the target word and 'tablespoon ,of ,jam and a' being the context word.
- Context window is $ L = \pm 2 $.              

Skip-Gram Training data

An on-going but a helpful book resource about NLP
https://web.stanford.edu/~jurafsky/slp3/

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