Learn how entity extraction (NER) helps chatbots identify names, dates, locations, and other key information from user messages automatically.
More about Entity Extraction
Entity Extraction, often termed as Named Entity Recognition (NER), is an essential component of NLP where specific data points or information chunks are identified in a given text. In chatbot interactions, entities can be things like dates, names, locations, product names, and more. For instance, in the user input "Book a flight to Paris on June 10", "Paris" might be extracted as a location entity and "June 10" as a date entity.
Extracting entities helps chatbots understand and act upon user requests more efficiently, as it identifies the specific details needed to process the user's intent.
