Quit term removing is yet another widespread stage, wherever routinely applied words like "is" or "the" are filtered out mainly because they don't include major intending to the text. Stemming or lemmatization reduces terms for their root form (e.g., "working" becomes "run"), making it simpler to analyze language by grouping https://machine-learning14689.blog2news.com/37079381/the-2-minute-rule-for-automation