One of the best ways to achieve human-like NLP (natural language processing) models is by using text data from social media. Where Do We Get Data For Natural Language Processing Natural language leans on the fields of linguistics and computer science to make models from text and speech.
Natural Language Processing is a branch of computer science that allows computers to ingest, compare and derive meaning from human languages.
SEMANTIC SIMILARITY CODE
While you can follow all of the rules of your particular programming language (python in this example), your program can make no sense or be wrong.Īnd contrary to the previous example, your code could make perfect sense, but without following the syntax (structure) mandated by your compiler, you’ll never be able to have functioning code. Here is a function that semantically makes perfect sense but syntactically is wrong.Īs we can see, semantics (in computer science) only cares about the actual meaning behind code. Why would you return the minimum in this context? Is the function named wrong? Is the algorithm wrong? Here is a function that syntactically is perfect but semantically makes no sense. Understanding the difference between syntax and semantics is easiest to see with an example.
What Is The Difference Between Syntax and Semantics It’s easiest to think of syntax as structure and semantics as meaning. This is the opposite of syntax, the rules governing your program. Semantics in computer science is the mathematical reasoning behind a legal string defined by a programming language. What Does Semantics Mean In Computer Science How Do You Compare The Sentence Similarity Between Two Sentences In Python?
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