Deep Learning Notations#
We largely follow the Machine Learning: The Basics book in terms of notations.
NLP Terminologies#
Consider a toy corpus of five text units:
1. This is Foo, how can I help you
2. It might rain today
3. I love football
4. Crazy, Stupid & Love
5. I shot the sheriff
The terminology below follows common usage (see this discussion):
A document is the basic unit of text. What counts as a document is task-dependent — it can be an entire article, a passage, or a single sentence. In the toy corpus above, each line is one document, so “This is Foo, how can I help you” is a document and “It might rain today” is another.
A corpus (or collection) is a set of documents. The toy corpus above is composed of five documents.
The vocabulary is the set of all distinct words contained in the corpus. Here it is [&, can, crazy, foo, football, help, how, i, is, it, love, might, rain, sheriff, shot, stupid, the, this, today, you].
Notation |
Description |
|---|---|
\(V\) |
The number of distinct vocabulary words in the corpus. |
Corpus/Collection |
A collection of documents. |
These terms are used throughout the vector semantics and embeddings chapter.