Therefore, each individual word has 2 vectors, Each and every describing the phrase’s relations with other words and phrases in one corpus. Meanwhile, these 2 vectors remain equivalent because they are used jointly during the neural network to train a single skip-gram product for predicting the encompassing windows of context https://dutchcartel.eu/