N-grams are sequences of words used in text analysis.

Stemming vs. Lemmatization: Key Techniques in NLP

Stop words are common words that are often omitted in processing.

TF-IDF measures word importance in a document set.

The Bag-of-Words model simplifies text analysis by indexing.

BERT embeddings enhance NLP tasks through contextualized understanding.

ELMo enhances natural language processing with context-aware embeddings.

Contextual embeddings enhance word meaning through context.

FastText: Efficient text classification and representation tool.

GloVe: A powerful tool for word vectorization in NLP.