Wiki › Technique

Tokenising, stop-word removal and stemming

Article
From Chaipat's knowledge graph
No article has been written for this page yet; it is generated from the knowledge graph.
  • Text preprocessing pipeline Mar 2025
    Text preprocessing pipeline is a command-line tool in Python that cleans a CSV of raw text for natural-language processing: Each text goes through four steps: cleaning: lower-casing and removing punctuation and noise; tokenising into words; removing stop words, such as "the" and "and"; stemming, so "running" and "runs" both become "run".
Text preprocessing pipeline