Data representation vocab words

  • How is data represented in digital systems?

    Computers store lots of different types of information: discrete information like numbers and letters, or continuous information like sounds and images.
    They use numeric codes to represent that data.
    The information is stored in a series of zeroes and ones known as binary code..

  • What is data representation in English?

    Data refers to the symbols that represent people, events, things, and ideas.
    Data can be a name, a number, the colors in a photograph, or the notes in a musical composition.
    Data Representation refers to the form in which data is stored, processed, and transmitted..

  • What is the data representation method?

    The most common types are line graphs, bar charts, pie charts, histograms, and scatter plots.
    These will all show different aspects of your data in different ways, so it's important to choose wisely.

How do I create a vocabulary in a text dataset?

Call TextVectorization adapt on the text dataset to create vocabulary

Once the state of the layer has been adapted to represent the text corpus, the vocabulary can be accessed with TextVectorization

get_vocabulary

This function returns a list of all vocabulary tokens sorted (descending) by their frequency

How do we learn representations of words?

These papers proposed two methods for learning representations of words: Continuous bag-of-words model: predicts the middle word based on surrounding context words

The context consists of a few words before and after the current (middle) word

This architecture is called a bag-of-words model as the order of words in the context is not important

How to create a bag-of-words representation for training data?

To create the bag-of-words representation for the training data, we call the transform method: The bag-of-words representation is stored in a SciPy sparse matrix that only stores the entries that are nonzero

The matrix is of shape 2×13, with one row for each of the two data points and one feature for each of the words in the vocabulary


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