5 Key Facts about Natural Language Processing that You Should Know

5 Key Facts about Natural Language Processing that You Should Know

Natural Language Processing (NLP) has come a long way over the years, and it is now widely regarded as one of the most important technologies for revolutionizing search. Natural language processing is the process of teaching computers to understand and answer to queries in human language. Now, that sounds amazing, isn't it? Here we shall look at some of the key facts about Natural Language Processing (NLP), one of the key technologies that power the new age enterprise search platforms. So, let's get started.

Fact 1: NLP Makes Machines Language Savvy!

Computational linguistics is another name for NLP. It's a technique that combines artificial intelligence (AI), semantic search, machine learning, and linguistics to let robots to communicate with humans in their native language.

Fact 2: NLP Works Differently from the Keyword Based Search

When it comes to processing of queries, Natural Language Processing differs from the conventional keyword approach as it uses a different algorithm. Rather than using Boolean search terms like AND, OR, and NOT, NLP analyses the question using semantic query processing, which employs algorithms to comprehend the relationships between the words and the likely intent behind the query to produce intuitive answers. In other words, NLP allows you to communicate with a machine in the same way that you would with a human. This is performed by first comprehending the question, then translating it to Boolean, retrieving the results, and finally converting them back into a language that the user can easily comprehend.

Fact 3: Modern Chatbots are a Popular Application of NLP

The adoption of NLP technology has resulted in the new era chatbot that we see today. Earlier, chatbots used to struggle to respond to user questions in a timely manner. Today, you find chatbots that are powered by NLP and AI that can answer to queries and accomplish tasks for users. Instead of speaking with a human, you can tell a chatbot to cancel or amend your tickets (yes, it's feasible!). Chatbots have become a popular way for organizations to stay in touch with customers and respond to their questions and concerns, and you can find them on websites and applications alike.

Fact 4: NLP is the Future of Business Intelligence (BI)

Experts expect that NLP technology will have a number of ramifications for BI, the most significant of which is the democratization of Big Data. The term "data democratization" refers to the process of making data more accessible by removing obstacles to data access. Data is becoming increasingly more accessible than it has ever been. The reason for this is that advanced enterprise search technologies are being adopted by businesses all over the world to unlock the knowledge hidden within unstructured data, and NLP is a vital component of this. As natural language processing (NLP) advances, it will become easier for businesses to "read" and acquire information from ever-increasing volumes of unstructured data, which is great for BI.

Fact 5: NLP is One of the Most Relevant Technologies Today

Linguists can use NLP technology to better comprehend characteristics of a language and undertake comparative research between languages. It guides the development of online translation software and speech-recognition technologies. NLP is extremely important now because it is a key component of the voice command technology used by Apple's Siri, Amazon's Alexa, and other digital assistants. Researchers are adding value to NLP by using it to delve deeper into text than previously feasible, and to mine information in text for connections that lead to new understanding.

And here's a bonus Fact about the what the future holds for NLP...

Fact 6: NLP Still has a lot in Store

NLP is poised to become an increasingly vital tool for analytics and knowledge development as big data becomes more prevalent and relevant in many enterprises and industries. Many additional domains will expand their usage of NLP for fundamental research, including but not limited to biology, genetics, and scientific education. Furthermore, NLP-based applications, digital assistants for example, will become more common. Simultaneously, researchers will refine NLP approaches and build more advanced NLP methodologies.

Want to explore how NLP technology can help your enterprise? Well, you need an enterprise search tool and 3RDi Search is a good example. Visit www.3rdisearch.com/ or drop us an email on info@3rdisearch.com and our team will get in touch with you.

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