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hi everyone welcome to my channel this is third video of our NLP for beginners playlist in the first video we saw how can you build your first you know NLP or natural language processing model and we primarily looked at two technique which allows us to extract the text feature from our data so our data was a text which was some comments and we wanted to identify with the tools commands are toxic or not so we look at two techniques the first one was the bag upwards technique which is the count vectorizer the second technique was the TF IDF technique and in the second video well record the third technique called a word to wake which is nothing but the vector representation of words so we use pre-trained word to make model from the Google and they find out the vector representation for our each word and then eventually converted that Vector representation of each word into the whole sentence or a text representation and this is how we got a vector representation for our text that we can
