Chatbots for Beginners: A Complete Guide to Build Chatbots - Deep Learning-Based Chatbot Architecture and Development: V

The video tutorial explains how to define a function for vectorizing stories, questions, and answers. It covers initializing variables, using a for loop to tokenize inputs, and vectorizing yes/no answers. The function returns sequences with maximum lengths to ensure proper padding, preparing the data for training and testing.

What is the purpose of defining a new function called vectorized stories_stories?

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How do you calculate the maximum story length in the function?

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What are the three main components initialized in the function?

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Explain the process of entering stories, queries, and answers into the respective variables.

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What is the significance of converting words to lower case in the tokenization process?

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What is the final output of the vectorized stories function?

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How does the function ensure that the padding for questions is handled correctly?

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