Examining how meaning is conveyed in texts designed to inform, focusing on word meanings, sentence structures, and context. Techniques include NLP with algorithms for processing datasets, key components like tokenization, parsing, and named entity recognition. Critical for applications like automated summarization, sentiment analysis, and knowledge extraction