Natural Language Processing (NLP)

Natural language processing is the set of methods for getting structure and meaning out of text: tokenizing it, tagging the entities in it, classifying its topic, and extracting the facts it states. Modern NLP is dominated by transformer models that read a passage in context rather than word by word, which is what made reliable extraction from messy real-world text practical.

For a data company, NLP is how a high-volume stream of news, filings, and posts becomes something you can query and evaluate. It underpins entity recognition, sentiment, event detection, and summarization. Financial and technical text is its own dialect, though - dense with named entities, negation, and understatement - so general models are a starting point, not a finished tool.