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

The video tutorial explains how to initialize empty lists for storing stories, questions, and answers. It then demonstrates how to populate these lists using a for loop that iterates over training data. Finally, the tutorial covers creating sequences from the story text using a tokenizer, preparing the data for further processing.

What is the initial step in preparing data for training?

• Running the tokenizer

• Appending data to lists

• Vectorizing the data

• Creating empty lists for stories, questions, and answers

What is the purpose of the for loop in the data preparation process?

• To tokenize the data

• To separate stories, questions, and answers

• To vectorize the data

• To create sequences

How are stories added to the train_story_text list?

• By creating sequences

• Through vectorization

• By appending them in a for loop

• Using the tokenizer

What is the next step after separating stories, questions, and answers?

• Vectorizing the data

• Appending more data

• Running a for loop

• Creating sequences using a tokenizer

Which built-in function is used to create sequences from text?

• text_to_sequences

• append

• tokenize

• vectorize

What does the length of the train_story_sequence indicate?

• The number of questions

• The number of stories

• The number of answers

• The number of tokens

What will be covered in the next video after tokenization?

• Vectorizing the stories

• Using a for loop

• Creating empty lists

• Appending data