Essential Natural Language Processing (NLP) Tasks and Applications

Essential Natural Language Processing (NLP) Tasks and Applications

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Learn about the fundamental tasks in Natural Language Processing (NLP) that power machines to understand and generate human language through a 13-minute video exploring six core concepts: tokenization for text segmentation, part-of-speech tagging for grammatical categorization, Named Entity Recognition (NER) for identifying specific entities, sentiment analysis for emotional tone detection, text classification for content categorization, and machine translation for cross-language communication, all essential for developing intelligent language-based applications.