Data Science and Machine Learning (Theory and Projects) A to Z - Sentiment Classification using RNN: Vocabulary Implemen

This video tutorial covers the creation of several Python functions to manage tokens and build vocabulary. It starts with an introduction to functions and list comprehensions, followed by a detailed explanation of the 'lookup token' function, which returns the index of a token or an unknown token index if not found. The video then defines the 'lookup index' function, which retrieves a token from an index and includes error handling for invalid indices. Finally, the tutorial introduces the process of building a vocabulary from a CSV file, setting the stage for the next video.

What is the primary purpose of the 'add many tokens' function discussed in the video?

• To sort tokens alphabetically

• To add multiple tokens and compute their indices

• To add a single token to a list

• To remove tokens from a list

Which Python feature is used in the 'add many tokens' function to compute indices?

• For loops

• Dictionary comprehension

• List comprehension

• Lambda functions

What is recommended for viewers who are not familiar with Python list comprehensions?

• To skip the video

• To read a Python book

• To practice on their own

• To take a full course on basic Python for data science

What does the 'lookup token' function return when a token is not found in the vocabulary?

• A default token

• The index of an unknown token

• The token itself

• An error message

What is the role of the 'lookup index' function?

• To update the index of a token

• To find the index of a given token

• To return a token for a given index

• To delete a token from the vocabulary

What should be done if an index is not found in the vocabulary during a lookup?

• Return a default token

• Raise a KeyError

• Ignore the index

• Return the index itself

What is the next step mentioned in the video after defining the 'lookup index' function?

• Optimizing the 'add many tokens' function

• Explaining list comprehensions in detail

• Writing a function to build vocabulary from a CSV file

• Testing the 'lookup index' function