nlp-classic-pipeline-order-tokenization-to-sentiment

IN premisesummaries/2026/08/24/wiki-Large_language_model-chunk-6.md

Created 2026-08-24T17:11:18+00:00

The classic NLP processing pipeline follows the sequential order: tokenization → POS tagging → parsing → semantic analysis → named entity recognition → coreference resolution → sentiment analysis

Summary

This sets a strict bottom-up dependency chain for how text gets understood, from splitting it into words all the way up to judging emotional tone, where each layer assumes the one below it is already done. It means the system can't skip ahead or reorder steps; for example, it cannot reliably figure out what a pronoun refers to or whether a sentence is positive or negative until word boundaries, grammar roles, and sentence structure have all been resolved.