|
||||||||
Word Representation - Python Automation and Machine Learning for ICs - - An Online Book - |
||||||||
Python Automation and Machine Learning for ICs http://www.globalsino.com/ICs/ | ||||||||
Chapter/Index: Introduction | A | B | C | D | E | F | G | H | I | J | K | L | M | N | O | P | Q | R | S | T | U | V | W | X | Y | Z | Appendix | ||||||||
================================================================================= In machine learning, word representation refers to the methods used to represent words as numerical vectors or embeddings. These representations are essential for enabling machines to understand and process natural language, as machines typically operate on numerical data. There are several approaches to word representation, and two widely used ones are:
Word representations are crucial in various natural language processing (NLP) tasks, such as machine translation, sentiment analysis, and named entity recognition. They allow models to understand the meaning of words and their relationships, enabling more effective learning and generalization on textual data.
============================================
|
||||||||
================================================================================= | ||||||||
|
||||||||