N-gram analysis examines word sequences to reveal common phrases and language patterns.

Tokenization splits text into words with consistent preprocessing.

N-Gram Generation creates unigrams, bigrams, trigrams for analysis.

Frequency Analysis counts occurrences; TF-IDF identifies distinctive phrases.

Phrase Mining finds meaningful expressions using statistical measures like PMI.