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Stop words are common but low-meaning words like "the" or "and". Removing them improves NLP text analysis by filtering out noise and focusing on meaningful content.
Word embeddings like GloVe turn words into numerical vectors, capturing meaning and semantic relationships. This article explains how GloVe works and how to use it in Python projects.
Python's built-in open()
function simplifies writing text files, supporting various modes to control file operations effectively.