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Welcome to the third video in the NLP for beginners playlist. In the first video, we explored building an NLP model to extract text features from data, focusing on two techniques: count vectorizer and TF IDF. The second video introduced word2vec, a technique for vector representation of words using a pre-trained model from Google. This allows for the conversion of word vectors into text representations, providing a vector representation for the entire text.