What is Text Vectorization?
In natural language processing (NLP), computers need a way to understand and work with text data, but computers don't 'understand' language the way humans do.
To make text understandable to a machine, we must transform it into a numerical format. This process is called vectorization. Without vectorization, machine learning models cannot process raw text inputs directly.
Key Insight
"Computers need a way to understand and work with text data through numerical representation."
Key Points
数字向量
词汇量
均衡
Checkpoint
QUIZWhat is the main purpose of text vectorization?
增加文本的语义复杂性
压缩文本存储空间