Text Vectorization Concept & Theory
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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

文本表示为
数字向量
梳理文本的
词汇量
获取样本
均衡

Checkpoint

QUIZ

What is the main purpose of text vectorization?

将文本转换为机器可读的数值形式
增加文本的语义复杂性
压缩文本存储空间