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in last video we looked at bi-directional RNN today we are going to talk about how you can convert words into numbers when you are dealing with any natural language processing task, your input is text and machine learning models cant understand text so you have to get it converted into a number lets take the example for the game of cricket lets say youre building an NLP model for this game and the task you have in hand is to recognize entities in a given sentence for example here Dhoni would be a player name India will be a team name and world cup would be a tournament. Similarly you can have a different statement and you want to identify the entities so this is called name entity recognization and based on previous video you can build an RNN that looks like this but if you observe carefully, there was one big problem when I covered NLP tasks for rnn in my last video and the problem is the input the machine cannot understand text see here the input is Dhoni or team India whatever
