March 2019
Intermediate to advanced
642 pages
22h 54m
English
Chunking refers to dividing the input text into pieces, which are based on any random condition. This is different from tokenization in the sense that there are no constraints, and the chunks do not need to be meaningful at all. This is used very frequently during text analysis. While dealing with large text documents, it's better to do it in chunks.
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