Natural Language Processing gives search engines a new linguistic competence
What problems does NLP solve?
Specific use cases in companies
Good to know: What is Natural Language Processing (NLP)?
As understanding natural language is a major challenge, various AI methods are used: primarily lexicons and rule-based methods (classic computational linguistics) and machine learning (ML), for example in the form of deep learning.
For example, certain algorithms identify the rules of natural language, extract the meaning of a sentence and collect essential data from it.
NLP is at the heart of a good enterprise search solution
The complexity of human language is a challenge and understanding language is an extremely demanding process. Therefore, various NLP techniques are combined and applied to overcome these difficulties. Human text and speech data is broken down in several stages. Computers are enabled to extract and process structured information from natural language.
Beuth Verlag: Optimal use of NLP in practice
By integrating enterprise search solutions with natural language processing, data is finally made easily accessible again. Companies can thus effectively maintain an overview and benefit from improved data availability.
An auto-complete function that completes the search term after just a few letters or makes alternative suggestions. Any typing or spelling errors are automatically corrected by the software. The integration of Natural Language Processing (NLP) gives users direct access to the information they need, even for queries in natural language.
Do you have your own special use case?
NLP: Your efficiency boost for your data - Talk to us
- A non-binding, concise assessment of which solution is right for your case and your organization
- Explanations of benefits and points to consider (e.g. data security and privacy)
- We analyze your use case and advise you
- Get in contact with:
Franz Kögl, CEO Breno Faria, Product Lead AI