Named Entity Recognition identifies and categorizes key terms.

Part-of-Speech tagging assigns grammatical categories to words.

Tokenization transforms assets into digital tokens.

Natural Language Processing enables machines to understand human language.

Abstractive summarization generates concise content from sources.

Extractive summarization condenses text by selecting key sentences.

Text summarization condenses information for quick understanding.

Text classification organizes data into predefined categories.

Coreference resolution identifies when different expressions refer to the same entity.

Word Sense Disambiguation enhances clarity in language processing.