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NLP Data Preprocessing Pipeline Steps by tian Indra is a document available to read on EtoBox.
What is NLP Data Preprocessing Pipeline Steps about?
The document outlines the NLP pipeline, focusing on text preprocessing techniques such as tokenization, normalization, stopword removal, stemming, lemmatization, and part-of-speech tagging. It discusses tools like NLTK and Stanford CoreNLP for implementing these techniques, along with examples of code for various preprocessing tasks. Additionally, it introduces Stanza, a Python library for linguistic analysis, and concludes with a task to find journals on NLP preprocessing and create a text preprocessing pr
- Author
- tian Indra
- Language
- EN