What is a natural language search?
Answer
What is a natural language search (NLS)?
Natural language searching allows you to search using everyday language instead of using keywords and Boolean operators. Natural language searching uses conversational phrases and relies on a database's algorithm to identify key terms and relevant results, whereas keyword searching involves using specific terms connected by Boolean operators like AND, OR, and NOT (e.g., climate change AND agriculture).
NLS Pros | NLS Cons |
Useful results for broad topics | Ambiguity in language |
Great for initial exploration | Difficulty in understanding context |
Fast results | Limitations in handling complex queries |
Tips for improving results with natural language?
- Use complete questions to help the system understand context.
- Review subject terms or keywords from relevant articles to refine later searches.
- If initial results are too broad, try combining natural language with strategic keywords.
Natural language searching is a great start to the information seeking process, especially if you are new to searching in article databases. As you build your research skills and conduct more precise or complex research, refining your search with keywords, subject terms, and filters often yields more relevant results.
Which databases have a natural language search feature?
Currently, only Ebscohost databases in the ECPI Online Library allow you to enable natural language searching.